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hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role \n We’re looking for a Senior Software Engineer II to join our Wise for Banks team and help shape the technical direction of the systems powering Wise’s global payment network. In this role, you’ll operate at the intersection of engineering, product, and partnerships by driving the architecture, scalability, and reliability of the infrastructure that enables banks to connect seamlessly to Wise. \n With deep expertise in Java, Spring Boot, Kafka, and PostgreSQL, you’ll lead the design of highly available services and event-driven systems that power partner integrations and financial flows at scale. You’ll influence architecture across Wise’s ecosystem of 700+ microservices, helping teams make sound technical decisions and ensuring systems remain maintainable, observable, and resilient as our platform grows. \n Beyond hands-on technical contributions, you’ll act as a technical authority and multiplier for the organisation. You’ll mentor engineers, raise engineering standards, and guide teams toward best practices in microservices architecture, domain-driven design, and distributed systems. You’ll also play a key role in cross-team initiatives, representing Wise Platform and helping align engineering efforts with company-wide goals. \n At Wise, we value collaboration, curiosity, and shared ownership. In this role, you’ll develop deep expertise in correspondent banking and interbank payment networks, helping shape the systems that enable banks and businesses to move money globally with speed, transparency, and reliability. You’ll regularly contribute to technical discussions, architecture reviews, and strategic planning across teams. \n Our Partner Cash Management team builds and maintains the infrastructure that enables banks to fund, hold, and manage liquidity within interbank payment networks. Our platform helps partners optimise liquidity, support seamless payments, and manage foreign exchange (FX) exposure at scale. As a Software Product Engineer, you’ll play a critical role in evolving this platform to support the next generation of global financial partnerships. \n We’re looking for someone who: \n\n • \n Has extensive hands-on experience with Java and Spring Boot in production environments \n • \n Has strong experience designing and operating large-scale distributed systems and microservices architectures \n • \n Is comfortable designing event-driven systems using Kafka or similar technologies \n • \n Has strong experience modelling and building systems with PostgreSQL or other relational databases \n • \n Applies domain-driven design principles to build scalable and maintainable systems \n • \n Has a track record of architecting and delivering complex, high-scale systems \n • \n Demonstrates strong technical leadership and cross-team influence \n • \n Communicates effectively with both technical and non-technical stakeholders \n\n What will you be doing? \n\n • \n Lead the design and development of highly scalable and resilient services in Java and Spring Boot within Wise’s microservices architecture, helping evolve the systems that power our global payments network. \n • \n Apply domain-driven design to model complex financial domains and build robust, scalable solutions that support Wise’s growing partner ecosystem. \n • \n Drive the development and adoption of event-driven architectures using Kafka or similar messaging systems, ensuring systems are reliable, observable, and able to scale with increasing transaction volumes. \n • \n Architect and optimise relational database systems (e.g. PostgreSQL), ensuring strong data modelling, performance, and reliability across critical financial workflows. \n • \n Collaborate with cross-functional teams including Product, Implementation, Solutions Engineering, and Business Development to support partner integrations and expand the Wise payment platform globally. \n • \n Provide technical leadership across teams, influencing architecture decisions, contributing to platform-level improvements, and ensuring engineering standards remain high across services. \n • \n Participate in code reviews, architecture discussions, and technical planning, championing best practices in distributed systems, reliability, and maintainability. \n • \n Mentor and support engineers, helping grow technical capability across the team while fostering a culture of learning, ownership, and collaboration. \n\n Qualifications \n What do you need? \n\n • \n We are fully aware that it is uncommon for a candidate to have all the skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! \n • \n Extensive experience building backend systems using Java and Spring Boot, or similar languages and frameworks, in production environments. \n • \n Strong experience designing and operating large-scale microservices architectures and distributed systems. \n • \n Proven experience building or operating event-driven systems using Kafka or similar messaging platforms. \n • \n Strong knowledge of relational databases such as PostgreSQL, including schema design, query optimisation, and maintaining data integrity in high-scale systems. \n • \n Experience applying domain-driven design (DDD) to model complex business domains and design scalable systems is a plus. \n • \n A strong product mindset and passion for user experience — you prioritise work with the customer in mind and make data-driven decisions to solve real problems. \n • \n Excellent problem-solving skills, with the ability to operate independently while collaborating effectively across teams. \n • \n Strong communication and leadership skills, with the ability to clearly convey technical concepts to both technical and non-technical audiences. \n • \n Experience mentoring engineers and contributing to raising technical standards across teams. \n\n …but don’t worry — we don’t expect you to know everything! \n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n Our Engineering career map \n • \n Scaling our Infrastructure; how we make it work \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers. \n As a Senior Lead Cybersecurity Architect at JPMorgan Chase within the Global Architecture and Engineering, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. \n Job responsibilities \n\n • \n Lead the evaluation and implementation of cybersecurity principles, processes, and controls, guiding technology assessments using established security standards and patterns. \n • \n Provide cybersecurity architecture and guidance to support business and regulatory requirements. \n • \n Develop and maintain a comprehensive cybersecurity reference architecture. \n • \n Serve as a subject matter expert in cybersecurity, offering expertise to technology teams and business partners. \n • \n Conduct security assessments, threat modelling, and technical risk assessments on design proposals from technical teams. \n • \n Advocate for firmwide frameworks, tools, and practices within the secure Software Development Life Cycle. \n • \n Influence technology decisions by introducing improvements in implementation patterns and architectural design. \n • \n Ensure the security of modern technologies such as public cloud, AI/ML, mobile, etc. \n • \n Manage project priorities, deadlines, and deliverables, ensuring timely security design and implementation. \n • \n Partner with Global Technology and other teams to oversee security design and implementation. \n • \n Adds to team culture of diversity, equity, inclusion, and respect \n\n Required qualifications, capabilities, and skills \n\n • \n Formal training or certification in architecture concepts and 5+ years of applied experience. \n • \n Background in infrastructure, system administration, and secure software development lifecycle is desired. \n • \n Experience in security products, risk management, information security standards, security architecture principles, threat and vulnerability management, including incident response methodologies. \n • \n Advanced proficiency in one or more programming languages or scripts. \n • \n Advanced knowledge of cybersecurity architecture, applications, and technical processes, with considerable in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.). \n • \n Advanced knowledge of enterprise networking and network security controls. \n • \n Understanding of Identity and Access Management systems and processes in an enterprise environment, familiar with Federated Identity Management, SSO, OAuth, SAML, AD & ADFS, Privileged Access Management, RBAC, etc. \n • \n Ability to tackle design and functionality problems independently with little to no oversight. \n\n Preferred qualifications, capabilities, and skills \n\n • \n Excellent verbal and written communication skills and the ability to interact professionally with a diverse group, executives, managers, and subject matter experts. \n • \n Understand information security and risk management challenges, issues mitigations and remediation in a multi-national enterprise environment. \n • \n Experience in leadership, either by directly managing teams or through mentorship. \n • \n Strong interpersonal skills; excellence in customer service \n • \n Ability to explain and champion security concepts. \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. \n As a Senior Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. \n Job responsibilities \n\n • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices\n, • Use domain modelling techniques to allow us to build best in class business products.\n\n\n, • Structure software so that it is easy to understand, test and evolve.\n, • Build solutions that avoid single points of failure, using scalable architectural patterns.\n, • Develop secure code so that our customers and ourselves are protected from malicious actors.\n, • Promptly investigate and fix issues and ensure they do not resurface in the future.\n, • Make sure our releases happen with zero downtime for our end-users.\n, • See that our data is written and read in a way that's optimized for our needs.\n, • Keep an eye on performance, making sure we use the right approach to identify and solve problems.\n, • Ensure our systems are reliable and easy to operate.\n, • Keep us up to date by continuously updating our technologies and patterns.\n, • Support the products you've built through their entire lifecycle, including in production and during incident management\n\n \n Required qualifications, capabilities & skills \n\n • Formal training or certification on software engineering concepts and applied experience\n, • Recent hands-on professional experience as a back-end software engineer\n, • Experience in coding in a recent version of the Java programming language\n, • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)\n, • Excellent written and verbal communication skills in English\n, • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.\n, • Knowledge of messaging frameworks.\n, • Seasoned with operating, supporting and the security of mission critical software applications.\n, • Understanding with different kinds of data stores (including relational data stores)\n, • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.\n, • Manage stakeholders and effectively prioritize work across multiple work streams.\n\n \n Preferred qualifications, capabilities & skills \n\n • Experience in working in a highly regulated environment / industry\n, • Seasoned with cloud-native microservices architecture\n, • Proficient with AWS cloud technologies\n\n \n #ICBEngineering #ICBcareers \n \n \n \n \n About Us \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n About the Team \n The Cybersecurity & Technology Controls group at JPMorganChase aligns the firm’s cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group’s number one priority is to enable the business by keeping the firm safe, stable and resilient. \n \n High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

hackajob is collaborating with QBE Insurance to connect them with exceptional professionals for this role. \n Primary Details \n Time Type: Full time \n Worker Type: Employee \n Credit Reinsurance Pricing Actuary \n London or Brussels (Hybrid) \n Full-time, Permanent \n About QBE \n At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. \n We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner. \n What if you could have a positive impact – at work and in the world? As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. \n The Opportunity \n Are you an actuary who enjoys working at the intersection of technical analysis and commercial decision‑making? \n This is a front‑end pricing role where you’ll partner closely with Underwriting to shape sustainable and profitable credit reinsurance decisions across a diverse and complex portfolio. \n You’ll be hands‑on with a wide range of credit products, including Political Risk, Trade Credit, Surety, Mortgage, and structured credit solutions, supporting both treaty and bespoke transactions. From initial analysis through to bind, you’ll play a key role in ensuring pricing decisions are technically robust, commercially relevant, and aligned with QBE Re’s risk appetite. \n With exposure to global markets, evolving geopolitical risks, and innovative credit solutions, this role offers strong development, visibility, and impact. \n Your new role \n\n • \n Analyse and price credit reinsurance treaty business, as well as ad‑hoc bespoke transactions, ensuring recommendations are analytically robust and clearly supported by data and models. \n • \n Present complex analysis in a clear, structured way to both technical and non‑technical audiences. \n • \n Partner with Underwriters to support deal structuring and negotiations, including participation in broker discussions where required. \n • \n Develop, review, and enhance pricing methodologies, models, and tools to reflect evolving credit, financial and geopolitical risks. \n • \n Produce monitoring and ad‑hoc reporting to track pricing performance, profitability, and variance against expectations. \n • \n Perform deep‑dive portfolio and product analyses, identifying key drivers, trends, and emerging risks across credit lines and asset classes. \n • \n Work closely with the Head of Credit Reinsurance to identify opportunities to optimise portfolio mix, pricing actions, and underwriting strategy. \n • \n Contribute to business planning, forecasting, and strategic initiatives. \n • \n Build strong relationships with internal and external stakeholders, including underwriting, claims, finance and senior leadership. \n • \n Promote a culture of technical excellence, strong governance, and continuous improvement within the pricing function. \n\n About you \n\n • \n Experience in actuarial pricing within insurance or reinsurance, ideally with exposure to credit or financial risks. \n • \n Understanding of Political Risk and/or Credit (re)insurance lines, or broader knowledge of credit asset classes such as corporate, structured or real estate finance. \n • \n Strong analytical background, including experience in pricing, reserving, or modelling (e.g. default probabilities, rating models, forecasting approaches). \n • \n Experience developing or enhancing actuarial models and assumptions. \n • \n Ability to work independently on complex analyses while collaborating closely with underwriting and other stakeholders. \n • \n Strong communication skills, with the ability to translate technical insights into clear commercial recommendations. \n • \n Experience using analytical or programming tools such as VBA, SQL, R or Python. \n • \n Actuarial qualification or progress toward qualification (e.g. FCAS, ACAS, FIA, IFOA, or equivalent). Equivalent qualifications such as CFA or MBA will also be considered. \n • \n Degree in actuarial science, mathematics or a related quantitative discipline (or equivalent experience). \n\n Si vous souhaitez recevoir cette description de poste en français, veuillez contacter Sophie Debergues à l’adresse sophie.debergues@qbe.com \n Als u deze functiebeschrijving in het Frans wilt ontvangen, neem dan contact op met Sophie Debergues via sophie.debergues@qbe.com, die u deze zal toesturen. \n Benefits \n We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: \n As well as the benefits below we also offer an extensive choice of other options to suit you! \n\n • \n 30 days holiday a year with the option to buy up to 2 additional days. \n\n\n • \n Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. \n\n\n • \n Private medical insurance – we fund fully comprehensive private medical cover for you and all the family. \n\n\n • \n Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad. \n\n To learn more about benefits of working with us, click Rewarding our people - QBE European Operations \n Awards & Recognition \n We value our employee’s experience with us and are proud to have been recognised for the following awards: \n\n • \n Insurance Post British Insurance Awards 2025: Winner: Commercial Lines Insurer of the Year, Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance \n\n\n • \n AXCO Global Insurance Awards 2024 Winner: Network Management of the Year \n\n\n • \n Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer \n\n\n • \n Insurance Post British Insurance Awards 2023: QBE rated as a 5-Star Employee \n\n To learn more about our achievements, click here \n Apply now and let’s make it happen! \n If you’re looking for a career that combines your expertise and your empathy, click Apply today. \n Your career. At the heart of it. \n Skills: \n Actuarial Science, Analytical Thinking, Conflict Resolution, Critical Thinking, Decision Making, Financial Products, Intentional collaboration, Managing performance, Performance Management (PM), Problem Solving, Project Scoping, Risk Management, Sound Judgment, Stakeholder Management, Statistical Analysis Software (SAS) \n How to Apply: \n To submit your application, click "Apply" and follow the step by step process. \n Equal Employment Opportunity: \n QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

hackajob is collaborating with Colt Technology Services to connect them with exceptional professionals for this role. \n Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. \n Why we need this role \n We’re growing our capability to deliver modern, cloud‑based security services. Customers are accelerating adoption of SSE/SASE, Zero Trust, and secure network transformation, and we need a consultant - security who can guide them with strong technical depth and governance oversight. This role ensures our solutions are secure, scalable, compliant, and aligned with industry frameworks while strengthening customer trust and internal expertise. \n What you will do \n Pre-Sales and Architecture \n\n • \n Lead technical pre-sales for SSE/SASE, Zero Trust, SD-WAN security, and cloud-delivered security. \n • \n Translate customer requirements into secure architectures and produce high-quality design artefacts. \n • \n Support RFPs, workshops, and bid activity with expert security input. \n • \n Advise on SWG, CASB, ZTNA, DLP, and cloud firewalling. \n\n Delivery and Technical Assurance \n\n • \n Oversee secure implementation of SSE/SASE and network security solutions. \n • \n Validate configurations and conduct assurance reviews across firewalls, SD-WAN, cloud controls, and identity-based access. \n • \n Provide guidance on hardening, secure configuration, and troubleshooting. \n\n Governance, Risk and Compliance \n\n • \n Apply GRC principles across designs and deployments. \n • \n Review and improve customer security policies and standards. \n • \n Perform risk assessments, threat modelling, and compliance gap analysis. \n • \n Advise on ISO 27001, NIST, PCI DSS, and GDPR. \n\n Threat and Vulnerability Management \n\n • \n Interpret threat intelligence and guide remediation strategies. \n • \n Support patching, OS hardening, and configuration management. \n • \n Assess vendor advisories and emerging threats. \n\n Stakeholder Engagement \n\n • \n Act as a senior advisor to internal teams and customers. \n • \n Communicate complex security concepts to technical and executive audiences. \n • \n Provide updates on risks, posture, and improvement opportunities. \n\n What we're looking for \n Technical Skills \n\n • \n Hands-on experience with SSE/SASE platforms (Zscaler, Netskope, Prisma Access, Cisco SSE). \n • \n Strong understanding of Zero Trust and identity-centric security. \n • \n Experience with SWG, CASB, ZTNA, DLP, cloud firewalling. \n • \n Expertise in firewalls (Palo Alto, Cisco ASA, Check Point) and SD-WAN security. \n • \n Knowledge of NAC, IDS/IPS, DDoS, segmentation, encryption, and cloud security (AWS/Azure/GCP). \n • \n Experience with vulnerability management, secure configuration, and incident response. \n\n General Requirements \n\n • \n Strong communication and presentation skills. \n • \n Ability to work independently and manage multiple priorities. \n • \n Experience with enterprise customers and senior stakeholders. \n • \n Willingness to travel within the UK and Europe. \n • \n High integrity and strong decision-making. \n\n What we offer you: \n Looking to make a mark? \n At Colt, you’ll make a difference. Because around here, we empower people. We don’t tell you what to do. \n Instead, we employ people we trust, who come together across the globe to create intelligent solutions. \n Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. \n We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. \n Diversity and inclusion \n\n • Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you’ll be encouraged to be yourself because we believe that’s what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth.\n\n Most recently we have: \n\n • Signed the UN Women Empowerment Principles which guide our Gender Action Plan\n, • Trained 60 (and growing) Colties to be Mental Health First Aiders\n, • Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages.\n\n Benefits \n Our benefits support you through all parts of life, for both physical and mental health. \n\n • Flexible working hours and the option to work from home.\n, • Extensive induction program with experienced mentors and buddies.\n, • Opportunities for further development and educational opportunities.\n, • Global Family Leave Policy.\n, • Employee Assistance Program.\n, • Internal inclusion & diversity employee networks.\n\n A global network \n\n • When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring – take a look at ‘Our People’ site including our Empowered Women in Tech.\n

hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n We’re looking for a Senior Applied Data Scientist who expects more from their career. This is an opportunity to apply your expertise to distil complex problems into meaningful, actionable insights -leveraging world-first science, cutting-edge machine learning techniques and human creativity to deliver impactful solutions for clients. \n Joining our advanced data science team, you’ll be responsible for the ongoing implementation, support and development of complex models and applications, working alongside exceptionally talented colleagues who are challenging and rewriting the rules rather than simply following them. \n Our team works closely with Tesco to solve some of the most interesting and challenging problems in the category management space. We work collaboratively with our client leadership team and with our clients, to build solutions that are re-usable, scalable and deliver measurable value. You’ll drive change, shape innovative solutions, and actively redefine how organizations harness data. \n What we expect from you \n\n • Degree in Statistics, Mathematics, Physics, Economics, or a related quantitative field\n, • Strong programming skills — Python and SQL are essential; PySpark experience is highly advantageous\n, • Experience with version control tools (e.g. GIT)\n, • Solid understanding of analytical technologies, tools, and techniques\n, • Excellent logical thinking and problem‑solving abilities\n, • Strong communication skills, with the ability to explain complex concepts clearly to non‑technical audiences\n, • Proven experience in statistical modelling and applying data science solutions to real client problems\n, • A passion for connecting technical work to real customer outcomes, delivering clear and measurable impact\n, • Comfortable building new workstreams from the ground up, including defining direction, structure, and stakeholder alignment\n, • Background in retail analytics (especially exposure to Category Management) is advantageous\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

hackajob is collaborating with TradingHub to connect them with exceptional professionals for this role. \n Compensation: Competitive (Financial Services) \n About TradingHub \n Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. \n With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. \n The Role \n We are hiring a Software Engineer to aid the design, build and maintenance of our market data environment and associated analytics. This hands-on position will attract those who are interested in working with complex architectures and are keen to apply their problem-solving skills in a practical setting. \n The successful candidate will work alongside Pricing Quants and Risk Strats to productionise financial markets data and follow a proactive approach to service enhancements. \n Responsibilities: \n\n • \n Develop, support and productionise data and analytics which are integral to TradingHub's products \n • \n Enhance your understanding of financial markets and how market data is used within our key products \n • \n Contribute to new tools development for the purposes of data lineage, governance and reporting \n • \n Research of data storage techniques and processing for large data sets \n • \n Utilise our in-house big data language for large-scale modelling and analysis \n • \n Collaborate with internal stakeholders to solve and understand critical production issues \n\n Requirements \n\n • \n Industry software engineering experience, preferably within financial services \n • \n Proficient with C#, Python, Java or similar \n • \n Good knowledge of database design and data structures \n • \n Proficiency with SQL-related technologies \n • \n Knowledge of AWS such as ECS, S3, DynamoDB is desirable \n • \n Evidence of exceptional analytical and problem-solving skills \n • \n High attention to detail and keen to work on multiple fast-paced projects simultaneously \n • \n Proactive and curious mindset, with accountability as a core personal value \n\n Benefits \n Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. \n Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. \n Employee Benefits: \n\n • \n Annual discretionary performance bonus (permanent employees only) \n • \n Hybrid working policy \n • \n Office lunches twice a week \n • \n Private medical insurance + dental cover \n • \n Extended parental leave (up to 6 months of fully paid maternity leave) \n • \n 25 days annual leave + bank holidays \n • \n Enhanced company pension plan \n • \n 5 days study leave towards professional qualifications \n • \n Salary sacrifice schemes \n • \n Death in service coverage \n\n Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! \n TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. \n We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n As a Data Architect (Manager) in Kainos, you’ll be responsible for providing SME guidance in traditional data architecture disciplines around data structures, data flows, data sourcing and data governance. Data Architects work closely with clients to understand their data requirements and take responsibility for ensuring solutions are fit for purpose. They also provide technical leadership for the rest of the team in the area of data. Data Architects may also work at the solution or enterprise level - for example resolving data definition and mastering issues across complex stakeholder environments. \n Most of our work comes through repeat business and direct referrals, which comes down to the quality of our people. The success of our data projects means that customers are bringing us an increasing number of exciting data projects using cutting-edge technology to solve real-world problems. We are seeking more high calibre people to join our Data & AI capability where you will grow and contribute to industry-leading technical expertise. \n You will manage, coach and develop a a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction and leadership for your team as you solve challenging problems together. \n Minimum requirements: \n\n • Experience across UK Defence sector or Public Sector\n, • Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.\n, • Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware of best practice techniques and methodologies.\n, • Experience of product or technology selection, either for a project or at enterprise level.\n, • Excellent client engagement skills with both technical and non-technical stakeholders – able to provide thought leadership to clients and the wider industry and to inspire internal staff.\n, • Highly proficient in at least three mainstream data technologies and aware of wider data technology trends.\n, • A self-starter able to work with a high degree of uncertainty. We are passionate about developing people – a demonstrated ability in managing, coaching and developing junior members of your team and wider community.\n\n Desirable: \n\n • Competent in defining information handling models and capacity planning across heterogeneous data store technologies.\n, • Experience of establishing data governance processes\n, • Experience of architecting a data lake and solutions that reside within a data lake ecosystem\n, • Enterprise Data Architecture experience.\n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n Skills and Competencies \n\n • 6-8+ years of relevant experience in FP&A, Corporate Finance, or equity research, with demonstrated experience analyzing and interpreting enterprise‑level P&L performance and key financial drivers; 2-3 years of leadership / management experience\n, • Strong hands‑on experience with Consolidated P&L management; scenario planning, financial modeling skills, including the ability to analyze and present financial performance on both reported and organic/inorganic bases, Cash flow forecasting, Incentive compensation / performance funding mechanics\n, • Excellent communication and stakeholder management skills, with the ability to present complex financial information to senior leadership and executive teams\n, • Proficient with MS Office Suite, notably Excel (including pivot tables) and PowerPoint; working knowledge of EPM platforms (Onestream) preferred\n, • Strong attention to detail and ability to manage multiple priorities under tight deadlines in a global, matrixed organization\n, • Experience in a public company/ global, multi‑segment organization preferred\n, • Exposure to executive‑level reporting, board materials, and earnings‑related analysis preferred\n, • Basic understanding of AI concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency\n, • Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use\n\n Education \n\n • Bachelor’s degree in Finance, Accounting, Economics, or related field required; advanced degree (e.g., MBA) preferred.\n\n Responsibilities \n Lead consolidated financial planning, forecasting, and reporting to support enterprise performance and strategic decision making. \n\n • Lead the end-to-end consolidation of the enterprise Profit and Loss (P&L) across budget, forecast, and long-term strategic planning cycles\n, • Partner with finance teams across business units to develop a unified view of financial performance, ensuring alignment of key assumptions and business drivers.\n, • Collaborate with Accounting, Treasury, Tax, and People teams to incorporate accounting changes, cash flow dynamics, tax impacts, and workforce planning into financial forecasts.\n, • Develop and deliver scenario and sensitivity analysis, including forecast-to-forecast and actual-to-forecast variance bridges for senior leadership\n, • Prepare executive-level reporting materials, including quarterly business reviews and Board presentations, translating financial results into clear and concise narratives\n, • Manage consolidated month-end P&L reporting, including flash reporting and variance analysis against budget and prior periods\n, • Act as the central coordination point across Financial Planning and Analysis teams to ensure timely, accurate, and well-governed financial reporting\n, • Support earnings preparation in partnership with Investor Relations, including analysis and development of supporting materials\n, • Lead initiatives to enhance forecasting and budgeting processes through automation, reporting improvements, and scalable data infrastructure\n, • Oversee enterprise incentive compensation funding analysis, including performance calculations and scenario modelling across plan designs\n, • Support Compensation and Human Resources committee reporting, including preparation of materials and analysis of incentive outcomes and targets\n, • Participate in internal control activities, including support for quarterly compliance and control testing requirements\n\n About the Team \n Our Corporate Planning team is responsible for leading enterprise financial planning, analysis, and performance management across Moody’s. We provide strategic financial insights that support executive decision making and long-term growth. We drive alignment across business units through integrated planning, forecasting, and reporting processes. We support external reporting and investor communications through rigorous financial analysis and governance. By joining our team, you will play a key role in shaping financial strategy and delivering high-impact insights at the enterprise level.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We’re looking for a strategic, data-driven Commercial Partnerships Associate to join the Growth team at Lendable. Focused on Zable’s upcoming new products including car insurance and mobile, you’ll play a central role in go to market of these products on price comparison websites, building the partner relationships that drive customer acquisition, and delivering analytics to guide product development. \n You don't need a background in partnerships or financial services, we care far more about how you think, how numerical you are, and whether you're genuinely curious about problems. You'll combine data analysis with external relationship management, take real ownership from early on, and work closely with Product, Data and Credit teams to deliver results in a fast-moving launch environment. You’ll be embedded within the growth team and will work closely with different teams at Lendable while being trusted to drive growth initiatives and handle your own projects independently. \n Team objectives \n\n • \n We are responsible for the growth of all Lendable and Zable products, delivering projects via our price comparison site partnerships or directly into the market. \n • \n The team asks ‘where are new customers?’, ‘what can I improve with my current channels’ conversion?’, ‘what are competitors doing on marketplaces?’, ‘Am I risking negative selection?’, ‘what is the next product or innovation to develop?’, and ‘Are my unit economics working?’. \n\n What you’ll be working on \n\n • \n You will own the launch of Zable car insurance and mobile on price comparison websites - from initial partner conversations through to integration, go live and on-going optimisation \n • \n Once live, take responsibility for channel performance: tracking volume, conversion and cost of acquisition at the partner level, identifying what’s driving changes and what to do about them \n • \n You will manage partner relationships across strategic and day-to-day activity, balancing focus on large strategic partners with incubating new exciting ideas and holding partners accountable to delivery milestones. \n • \n Prepare analysis to support commercial decisions: pulling the right data, forming a clear point of view, and presenting it in a way to keep moving forward \n • \n You will be trusted to negotiate customer acquisition costs and commissions with key partners, identifying areas for cost optimisations. \n • \n Work cross functionally with Product, Pricing, Data and Compliance to scope integrations, complete due diligence on new partners and drive projects forward \n • \n Keep track of what’s happening in mobile and insurance partner markets - new entrants, product changes, competitor moves - and bring those insights to internal discussions \n • \n The role progression includes gradually owning the full responsibility for strategy and execution of specific partner projects, marketing efforts or product enhancements that deliver business growth. \n\n Your experience \n\n • \n 2-3+ years’ experience in a commercial, consultancy, partnerships, analytical, business development, or account management role; ideally within financial services or a high-growth tech environment. \n • \n Highly numerate and analytical, proficient in manipulating and visualising data in AI-assisted SQL / Python, and using commercial modelling to inform decisions. \n • \n Strong communicator able to represent Lendable externally and build trusted relationships internally and externally. \n • \n Demonstrably uses AI tools to work better, whether that's automating repetitive tasks, speeding up analysis, improving written output, or finding faster routes to answers. We don't care which tools; we care that you've genuinely changed how you work because of them, not just experimented once or twice. \n • \n Outcome-driven and proactive: skilled at prioritising, independently driving projects, and managing work to deliver high-value results. \n • \n Comfortable contributing to a collaborative team, while thriving in a role where your individual performance and impact are directly visible. \n\n What does success look like 6 months after joining? \n\n • \n You’ve launched Zable non credit products on price comparison websites, and are starting to generate volume \n • \n Formed strong working relationships with all of our key partners, placing Zable as the partner of choice for all analytics or innovation collaborations. \n • \n You are assessing new partnership opportunities on a regular basis, have a clear view on the partner pipeline and are acting on ones that deliver tangible value to the business. \n • \n Ownership of the customer acquisition funnel at the individual partner level; identifying changes in funnel dynamics and attributing them at pace, sharing insights with Risk, Pricing and Product teams to inform wider acquisition strategy \n • \n First line ownership of due diligence checks and ongoing compliance monitoring of Lendable partners through dedicated diligence exercises and mystery shopping. \n\n Interview process \n\n • \n 30-min introductory call with Talent team \n • \n 15min cognitive test \n • \n 60min in-person case study exercise with Head of Partnerships \n • \n Final round (in-person or virtual): \n \n • \n Head of Partnerships \n • \n Commercial MD and Insurance or Mobile MDs \n \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values. \n \n The Role: \n We are looking for an experienced Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n Requirements \n Key Responsibilities: \n\n • Develop Data Engineering solutions for our clients/projects \n, • Design and build data models, schemas to support business requirements\n, • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.\n, • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.\n, • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. \n, • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc.\n\n \n Key Skills/Experience: \n\n • Experience in operating as part of data engineering teams and independently. \n, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) \n, • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) \n, • You have framework experience within either Flask, Tornado or Django, Docker \n, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\n, • Data acquisition and development of data sets and improving data quality \n, • Preparing data for predictive and prescriptive modelling \n, • Reporting tools (e.g. Tableau, PowerBI, Qlik) \n, • GDPR and Government Service Standard (desirable) \n, • Passionate, motivated and enthusiastic about developing technology solutions. \n, • Experience working in an Agile development environment\n\n Benefits \n Package and Benefits: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n \n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Consulting delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 250 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n The Role: \n We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts. \n You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. \n About you: \n Our team is our strongest asset, you will be an excellent team player who recognises the strength of the team as a whole and can find their role within the Solirius team. Typical qualities of a Solirius consultant are: \n\n • Best in class technical skills in their sector\n, • Outstanding communication skills\n, • Strong interpersonal and team working skills\n, • Self motivated, enthusiastic and committed\n\n The ideal candidates will share our values and be aligned with our ways of working \n Key Responsibilities: \n\n • Develop Data Engineering solutions for our clients/projects\n, • Design and build data models, schemas to support business requirements\n, • Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.\n, • Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.\n, • Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities.\n, • Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc\n, • Assist with defining the processes needed to achieve operational excellence\n, • Ensure data quality across all projects/clients\n, • Define and manage SLA’s for data sets and processes throughout production\n, • Lead on the design, build and launch of new data models and pipelines\n\n Key Skills/Experience: \n\n • Experience in operating as part of data engineering teams and independently.\n, • Line/Team management experience, leadership experience\n, • Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)\n, • SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)\n, • You have framework experience within either Flask, Tornado or Django, Docker\n, • Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo\n, • Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.\n, • Data acquisition and development of data sets and improving data quality\n, • Preparing data for predictive and prescriptive modelling\n, • Hands on coding experience, such as Python\n, • Reporting tools (e.g. Tableau, PowerBI, Qlik)\n, • GDPR and Government Service Standard (desirable)\n, • Passionate, motivated and enthusiastic about developing technology solutions.\n, • Experience working in an Agile development environment\n, • Data architecture experience.\n\n Package and Benefits: \n\n • Competitive salary, dependent on experience\n, • Flexible working / Work from home\n, • Private Healthcare\n, • Generous annual discretionary bonus\n, • 25 days annual leave + bank holidays\n, • 10 days allocated development training per year\n, • Contributory pension\n, • Gym membership\n, • Annual away days and social events\n\n Equality & Diversity: \n Solirius Consulting is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n ABOUT WISE PLATFORM \n Wise Platform takes all of the world-class payments products Wise has built over the last 15 years and enables hundreds of millions of consumers and businesses to access them in the places where they already move and manage their money - with banks and large tech platforms. \n Today, we’re already powering payments for some of the world’s top neobanks like Monzo, N26, and Nubank, alongside a growing list of leading global banks such as UniCredit, Morgan Stanley and Standard Chartered, to name a few. In the tech platforms space, we’re powering payments for partners across a whole range of industry verticals and use cases. Whether that’s leading marketplaces like Google, Agoda, or Upwork, workforce management tools like Deel, or investment platforms like Interactive Brokers - we’re bringing the power, simplicity, and transparency of Wise to even more people and places. \n And, we’re just getting started! Wise Platform is one of the newest and fastest growing products at Wise. We’re a global and highly cross-functional team, spearheading Wise next phase of growth! \n Job Description \n As the Lead Product Analyst in Cash Management, you’ll sit at the centre of one of Wise Platform’s biggest growth and profitability opportunities: helping the world’s largest banks and platforms manage Liquidity, Settlement and FX with Wise. You’ll build the models, KPIs and decision frameworks that shape our Post‑Funding, Conversions and Treasury products, directly influencing take‑rate, partner revenue and GTM-strategy. This is a high‑autonomy role in a fast-scaling “start-up within a scale-up” environment. You’ll turn ambiguous partner and treasury problems into crisp insights, compelling narratives and clear product bets, working closely with Product, Engineering, Commercial and Finance to ship improvements that unlock volume, reduce friction, and increase margin. \n WHAT YOU’LL BE DOING \n\n • \n You will deliver high-impact, scalable data solutions such as building and maintaining robust models and data products that directly support the team's efficiency, effectiveness and risk appetite. \n • \n You will proactively manage team KPIs, ensuring clear measurement and understanding of product performance, undertaking deep-dives and providing actionable recommendations to drive product objectives and roadmap. \n • \n You will be leveraging advanced analytics, crafting dashboards and visualisations that bring product performance data to life, tell a clear story, and offer diagnostic power. \n • \n You will conduct opportunity sizing for product initiatives to understand short-term and long-term impacts against key performance indicators and our long term vision. \n • \n You will support product discovery through initiatives such as market sizing, research, and scenario modelling to inform the product roadmap. \n\n Qualifications \n\n • \n You have experience working in payments and/or banking. A plus if you’re familiar with FX products, treasury or liquidity management domains. \n • \n You are proficient with SQL and know your way around data pipeline management tools such as Snowflake, dbt, Git, Airflow, Python, and Lightdash. You're comfortable owning analytics from data transformation through to delivering actionable insights. \n • \n You are commercially minded. Able to translate your analysis into impact and comfortable with opportunity sizing, prioritisation and scenario modelling. \n • \n You have experience working in a high-growth B2B tech environment and have worked closely with product teams before. \n • \n You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across Wise and negotiating timelines to unblock yourself and make things happen! \n • \n You are an excellent communicator, able to form your own opinions and effectively articulate them to influence key stakeholders. You should also be comfortable writing and maintaining clear and concise documentation and analysis. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n\n • \n Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly \n • \n Experience leading a team or owning a whole product domain \n\n PROCESS \n 1) Screening call with recruiter - 30 mins \n 2) Take home Case Study - 7 days to submit \n 3) Technical Interview - 1.5 hours \n 4) Stakeholder Interview - 1 hour \n 5) Final Interview - 1 hour \n Preparation material and further context will be provided at each stage. \n Additional Information \n BENEFITS: \n Base salary of £75k - £115k (based on experience) \n RSU's in a growing and publicly listed company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role. \n Our story - continued commitment to doing the right thing \n \n 2005 seems like a long time ago. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time. \n \n As we’ve grown, we’ve tried hard to keep true to this. To ourselves, to our 800 strong team and to the 3.5m customers that we’ve served so far. And as we move forward, as we enter a big new market, as we grow responsibly, as we improve our products, as we offer our customers more of what they need, of what they deserve, we’ll hold onto the focus of that small company with the big idea. Protecting and serving businesses across the UK and the US. From barbers to bakers, consultants to cleaners, they are the backbone of the economy. \n \n And we’ll continue to stand by them. Bit by bit helping their dreams grow, just like ours. \n \n Why do we need this role? \n \n As a Staff Data Scientist you will be part of a team that is bringing AI and Data Science into the forefront of SB. We are looking to unify our technical vision and are looking for an experienced, technical but pragmatic Staff Data Scientist to enable our wider team to deliver value, quickly. \n \n In this role, you will: \n \n\n • \n Work closely with cross-functional development teams to build, test and maximise the value of a suite of models ranging use cases from LLM’s to propensity, classification and regression models \n\n • \n Contribute to End to end development and deployment of ML and AI models \n\n • \n Prove and deliver real value \n\n • \n Have the opportunity to work with stakeholders in a high-pace, agile environment which encourages autonomy and growth. \n\n • \n Try and incredibly broad range of DS/AI techniques in a commercial environment \n\n\n \n Responsibilities include: \n \n\n • \n Researching, advising, building, deploying and testing models from day one \n\n • \n Work as a bridge between the data science and MLOps departments to continue bring understanding and best practice deployment techniques into the Data Science team \n\n • \n Hands on big project ownership \n\n • \n Everyday modelling and Data Science projects with a large, event based data set \n\n • \n Opportunity to help to codevelop our AI strategy and continued leverage of GenAI for real value \n\n\n \n \n What are we looking for: \n \n\n • \n 5+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI \n\n • \n Created multiple Data Science Products \n\n • \n Proven aptitude for working with experimenting tools - MLflow/DBX (A/B tests) \n\n • \n Proven deployment experience - MUST BE REALTIME \n\n • \n Extensive experience of Databricks/AWS/GCP for deployment \n\n • \n Strong Python experience \n\n\n \n \n The Benefits \n \n There’s all the serious (but important) stuff we call ‘core benefits” and a salary that reflects your experience, our pay policy and the market we’re in from your first day is a global approach. However, some of our “core benefits” differ from the UK to the US to keep us competitive. \n \n These range from life cover, a cash plan and a stakeholder pension in the UK to medical, dental, vision, and prescription drug coverage, short and long term disability, life insurance coverage and participation in 401(k) plan with a 3% employer match in the US. \n \n The Fun stuff! \n \n We are really proud of our culture at SB and that reflects in how our benefits roll. Flexible benefits and working, plenty of training to help you develop your career and loads of clubs to get involved in from trivia nights, guest speakers, and charity drives keep us all well connected. And, the great thing is being remote hasn’t stopped us one bit.

hackajob is collaborating with loveholidays to connect them with exceptional professionals for this role. \n Why loveholidays? \n At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. \n We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. \n About the team: \n Our Commercial Finance team plays a crucial role in driving the success of the business by managing budgets, forecasting performance, and providing strategic insights. We ensure financial stability and support our business partners in decision-making. \n The impact you’ll have: \n To support loveholidays’ mission to open the world to everyone, this Commercial Finance Analyst position will be instrumental in working with key stakeholders across the business. This is a fast-paced role and requires a structured thinker and strong problem solver. \n The role is based in Hammersmith, London and and will be part of the Commercial Finance team. Your day-to-day: \n\n • \n Build and maintain detailed financial models to provide data driven recommendations for operational decision making \n • \n Deliver insights into financial performance by identifying trends, highlighting opportunities, and recommending actions to senior finance and business stakeholders \n • \n Support the annual budget and forecasting cycles, taking ownership of various components and developing expertise within our planning tool (Anaplan) \n • \n Partner with the Reporting team during month end to provide commentary on variances while identifying key risks and opportunities \n • \n Drive innovation and automation within budgeting and management reporting to streamline processes, ensuring high data accuracy and quality \n • \n Collaborate on cross-functional initiatives and ad-hoc finance projects to support broader business goals \n\n Your skillset: \n\n • \n Qualified Accountant (minimum 2+ years post qual) \n • \n Strong analytical and problem-solving skills \n • \n Excellent communication and interpersonal skills \n • \n Proficient in financial modelling, budgeting and forecasting \n • \n Excellent stakeholder management experience \n • \n Organised, task focused and will go the extra mile to get things done \n\n Perks of joining us: \n\n • \n Company pension contributions at 5%. \n • \n Individualised training budget for you to learn on the job and level yourself up. \n • \n Discounted holidays for you, your family and friends. \n • \n 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. \n • \n Ability to buy and sell annual leave. \n • \n Cycle to work scheme, season ticket loan and eye care vouchers. \n\n At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. \n The interview journey: \n\n • \n Introduction to loveholidays with the Talent team - 30 mins \n • \n 1st Stage with Head of Business Partnering (45mins) \n • \n 2nd Stage with Head of Business Partnering and Senior Finance Manager with case study presentation (1hr) and with representatives from the business (30mins) \n • \n Final Stage with VP of Commercial Finance (30mins) \n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for an analytical and curious Senior Marketing Data Analyst to join our Marketing Science team. Our mission is to fuel sustainable growth by measuring marketing effectiveness - building a unified measurement framework based on experimentation, Marketing Mix Models and tracked attribution. \n Your Mission \n In this role, you will help us build our best representation of marketing effectiveness by enhancing and maintaining our attribution model. You will partner with our Lead Analyst to own the code and define our attribution logic while partnering with marketing teams to ensure every £ is spent efficiently. \n Key Responsibilities \n\n • \n Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves. \n • \n Ensure the accuracy of marketing data integrity in our attribution model. \n • \n Work with the Data Science, Acquisition and marketing teams to evolve our model. \n • \n Build dashboards that allow marketing stakeholders to self-serve daily performance metrics. \n • \n Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders. \n • \n Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions. \n • \n You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps. \n • \n You will contribute defining impactful OKRs to work throughout the half of the year. \n\n Qualifications \n\n • \n Bachelor’s degree in Statistics, Economics, or other relevant fields. \n • \n 2+ years of experience in a marketing analytics or data analytics role. \n • \n Advanced SQL skills, Python/R and dbt are advantageous. \n • \n You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights. \n • \n Experience working with attribution models/MMP data is advantageous. \n • \n Experience with data visualisation tools (example, Looker, Power BI, LightDash). \n • \n Understanding of performance marketing is advantageous. \n\n Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. \n Additional Information \n Some of our benefits: \n Base salary of £60,000 - £85,000 \n RSU's in a growing and public company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n ♀️ Lots of fun group activities like yoga, running and boardgame nights \n Find out more about our benefits in our London office. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Third Bridge Group to connect them with exceptional professionals for this role. \n Third Bridge is a leading global research firm established in 2007, with a team of over 1,500 employees worldwide dedicated to fueling decisions with expert insights. We accelerate and enhance decision-making for investors and business leaders by unearthing unique expert insights across multiple sectors, geographies, and topics. \n For nearly 20 years, we’ve helped clients access knowledge on demand from experts, in-person and through our Library covering over 65,000 companies. \n We stand at the cutting edge of technology and investment research, driving innovation to deliver solutions that set new industry standards. We are building a Data Science capability within our Data Architecture function, and are seeking a Data Scientist who combines technical rigour with a prototyping mindset — someone dedicated to proving what’s possible with our data and handing those proofs to engineering. \n About the Role: \n As a Data Scientist at Third Bridge, you will be the engineering-focused prototyping engine within a high-impact data team. Working alongside our senior analytics capability and reporting to the Principal Data Architect, your primary mandate is to design, build, and validate proof-of-concept (PoC) solutions — from new dataset pipelines and ML models to AI-powered internal tools — and hand off successful proofs to the engineering team for production integration. \n You will work with Third Bridge’s rich proprietary data assets: transcripts, events, interaction data, commercial performance metrics, and content derived from tens of thousands of expert interviews. The role gives you the mandate to find new ways to extract value from that data, with the freedom to experiment and the expectation to ship. \n Key Responsibilities: \n\n • Design and build PoC solutions with a clear ‘ship-or-kill’ decision framework, defining evaluation criteria upfront so success is measurable, not just qualitative.\n, • Build extraction, transformation, and loading (ETL/ELT) pipelines to create net-new datasets for analytical or ML use, including feature engineering pipelines for model training and downstream reporting.\n, • Apply supervised and unsupervised ML techniques to commercially relevant problems: usage propensity, client segmentation, churn modelling, content recommendation, and anomaly detection.\n, • Develop lightweight Python-based tools and notebook applications that allow business stakeholders to interact with model outputs or curated data extracts.\n, • Prototype AI-assisted internal tools — including applications leveraging LLM APIs, embedding-based search, and retrieval-augmented generation (RAG) — to demonstrate near-term business value from Third Bridge’s content assets.\n, • Collaborate closely with the analytics peers to align on data definitions, shared datasets, and metric standards that underpin both experimental and production work.\n, • Work with the engineering team to define production requirements for successful PoCs, producing clean, well-documented code and architecture notes to support seamless handoff.\n, • Advocate upstream for data quality and instrumentation requirements with Product and Engineering, contributing to the team’s engineering standards and practices.\n\n Essential Qualifications: \n\n • Masters degree (or equivalent) in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a quantitative field such as Economics.\n, • Professional experience in a data science, ML engineering, or applied data role.\n, • Strong Python programming skills, including hands-on experience with pandas, scikit-learn, and at least one ML or deep learning framework.\n, • Working knowledge of Bedrock and other AWS managed services.\n, • Demonstrable experience building and deploying at least one end-to-end ML model or data pipeline in a professional setting, with clear evaluation criteria and documented outcomes.\n, • A track record of building PoC or prototype solutions and iterating toward production-readiness, with the discipline to define ‘ship-or-kill’ criteria upfront.\n, • Strong version control practices (Git) and familiarity with software engineering workflows including code review and CI/CD awareness.\n, • The ability to communicate technical findings and trade-offs clearly to both technical peers and non-technical stakeholders.\n\n Qualifications \n Desired Attributes: \n\n • Exceptional problem-solving instincts and a bias toward shipping: able to make a PoC useful and demonstrable quickly, without over-engineering early-stage solutions.\n, • Familiarity with AWS Bedrock or other managed AI/LLM platforms (e.g. OpenAI API, Anthropic API) for building and integrating AI-powered features is a strong plus, though AI capability should complement, not replace, a solid foundation in traditional ML.\n, • Experience with NLP, text classification, embedding models, or semantic search, particularly applied to content-rich or document-heavy datasets.\n, • Familiarity with building lightweight web applications or data tools such as Streamlit, FastAPI, or Flask, enabling business stakeholders to interact directly with model outputs.\n, • Experience with orchestration or transformation tooling such as dbt, Airflow, or Prefect, demonstrating an ability to build reproducible and maintainable pipelines.\n, • A tech-agnostic mindset, open to selecting the right tool for each problem — whether that is a classical statistical model, a gradient boosting approach, or an LLM-backed workflow.\n, • Exposure to product analytics, B2B SaaS, publishing, or content-rich datasets is a plus.\n, • Natural curiosity and a proactive approach to staying current with developments in both traditional ML and generative AI — and bringing relevant ideas back to the team.\n, • Excellent collaboration skills, with the instinct to treat the analytics peer and engineering team as partners rather than handoff recipients.\n\n How will you be rewarded? \n\n • \n We truly care about our people so in return for your work, you’ll get: \n • \n Vacation: 25 days (which increases to 28 days after 2 years of service) plus UK Bank Holidays \n • \n Learning: personal development allowance of £1000 per year \n • \n Health and wellbeing: private medical insurance and healthcare cash plan, a variety of health and wellbeing events to focus on mental health, Ride to Work scheme (savings on bikes and accessories) \n • \n Future and family: pension contributions of 4% (increases with tenure) and life insurance of 4x of your base salary \n • \n Flexibility: work from anywhere for one month per year, 2 annual volunteer days, 2 personal days when life throws you a curveball and 'Summer Fridays' \n • \n Rewards: get points through our colleague-to-colleague recognition programme to spend on hotels, gift cards, donations to charity and more \n • \n Social: optional social gatherings, daily breakfast and snacks, social events \n • \n ESG: CSR, Environment and Diversity & Inclusion (including Women at Third Bridge, Pride and Blkbridge) \n • \n Frontline Innovation: your chance to share your ideas for improvement through Hackathons and other events \n\n Third Bridge values your trust and is committed to the responsible management, use, and protection of personal information. By submitting a Third Bridge job application, I hereby provide Third Bridge (including Third Bridge's affiliates and relevant third-party suppliers) with my consent to collect, store and process my personal information for the purpose of recruitment administration, as well as to share such personal information with third parties for the same purpose, in accordance with the Candidate Privacy Notice. \n We know that to be truly innovative, we need to have a diverse team around us. That is why Third Bridge is committed to creating an inclusive environment and is proud to be an equal opportunity employer. If you are not 100% sure if you are right for the role, please apply anyway, and we will be happy to consider your application.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you ready to shape the future of Exotics trading? Join our Quantitative Trading & Research team and make a meaningful impact on the Equity Derivatives business. You will have the opportunity to design and implement cutting-edge pricing and risk models, working alongside talented professionals in a collaborative, global environment. We value diverse perspectives and offer unique growth opportunities. Your expertise will directly influence trading strategies and client outcomes. \n Job Summary: \n As a Vice President or an Executive Director in Quantitative Trading & Research, you will join a dynamic team supporting the Equity Derivatives business. You will deliver innovative modelling solutions, blending quantitative finance with machine learning to develop best-in-class models for the trading desk. You will work closely with colleagues across Trading, Structuring, and Sales, helping to drive product innovation and optimise portfolio outcomes. We foster an inclusive culture, accommodating religious practices, health needs, and family considerations. \n Job Responsibilities: \n\n • Collaborate with Trading, Structuring, and Sales to support product innovation and analyse complex payoffs\n, • Implement advanced pricing and risk models for exotic equity derivatives\n, • Generate innovative modelling approaches and develop pricing prototypes to validate new ideas\n, • Participate in the continuous improvement of core models\n, • Provide valuation and risk management expertise across products and regions\n, • Develop systematic, quantitative solutions for portfolio management \n, • Communicate complex concepts clearly to senior stakeholders\n, • Mentor junior team members and promote knowledge sharing\n\n Required Qualifications, Capabilities, and Skills: \n\n • Strong educational background and relevant quantitative finance experience \n, • Deep understanding of option theory, equity derivatives products and models\n, • Strong foundation in stochastic calculus, probability, and numerical methods\n, • Proficiency in Python and C++, including experience with numerical and scientific libraries\n, • Experience in a derivatives quant role\n, • Outstanding analytical and problem-solving skills\n, • Excellent written and oral communication skills\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in a front-office equity derivatives quant role\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: \n\n • Wise is one of the fastest-growing global financial platforms, and as we scale, so does the sophistication of the ML systems protecting every transaction. Our Risk ML team is building the model lifecycle platform that makes it possible to develop, deploy, and monitor ML models for financial crime detection - reliably, reproducibly, and at scale.\n, • We're looking for a Senior ML Platform Engineer to build this platform from the ground up. You'll design the infrastructure that turns model development from a bespoke, manual process into a scalable, standardised one - so our data and applied scientists can focus on improving detection rather than managing operations.\n\n This is a greenfield build with strong investment and direct engagement from Wise's senior leadership. \n How we work: \n\n • Risk ML sits within Wise’s FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop, and Risk Modelling. You'll sit in Risk Modelling, building the platform layer that makes scaling our detection capabilities possible.\n, • You’ll work closely with data scientists, feature platform engineers (upstream infrastructure), and Wise's central ML platform team (shared foundations). We value engineers who build for adoption - internal platforms succeed when teams want to use them.\n\n What will you be working on? \n\n • Designing and building the declarative training pipeline - standardised, config-driven model training that any data scientist can use without writing deployment code\n, • Building model packaging and serving abstraction - a unified interface that handles multiple model types (classical ML, deep learning, emerging architectures) through a consistent API\n, • Implementing the model evaluation framework - standardised metrics, reproducible comparison, and automated validation gates\n, • Building model monitoring - drift detection, performance degradation alerts, automated retraining triggers, and full audit trails for regulatory compliance\n, • Owning the integration layer with Wise's central ML infrastructure - aligning on boundaries so FinCrime-specific lifecycle tooling builds cleanly on shared foundations\n, • Maximising data science productivity - your platform's success is measured by how much time shifts from operational maintenance to improving detection performance\n\n What do you need? \n\n • Experience building ML platform infrastructure in production - training pipelines, model serving, evaluation frameworks, or monitoring systems. Infrastructure that other teams depend on, not individual model work.\n, • Strong software engineering fundamentals - you build reliable, well-tested, maintainable systems. Python, Kotlin/Java, SQL.\n, • Experience with ML orchestration (Airflow, Kubeflow, or equivalent), model registries (MLflow or similar), and container-based deployment\n, • End-to-end understanding of the ML lifecycle - data ingestion through training, packaging, serving, and monitoring - and knowledge of where things break\n, • A product mindset for internal tooling - you think about data scientists as users and build for adoption, not just functionality\n\n Nice to Have: \n\n • Model serving at scale - latency optimisation, ONNX packaging, canary deployments for models\n, • Experience in FinCrime, fraud, AML, or regulated environments where audit trails and model governance are non-negotiable\n, • Experience with model monitoring and drift detection systems in production\n, • Track record of migrating teams from manual ML workflows to platform-based approaches\n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £111,000 - £145,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Octopus Energy to connect them with exceptional professionals for this role. \n What we do. \n Electric Car Leasing \n Why we do it. \n Greener. Fairer. Future. \n We are a market-leading, mission-driven organisation focused on accelerating the transition to a net-zero economy through innovative financing solutions. As we enter a significant period of growth, we are scaling our Capital Markets team to support our increasingly sophisticated funding requirements. \n We are open to recent graduates for this position who can demonstrate relevant interest and experience in finance. \n This is a high-growth opportunity for an analytical professional looking to build a career in Capital Markets. Joining as an Analyst, you will gain hands-on exposure to complex debt facilities and see the full lifecycle of a securitisation facility. You won't just be processing data; you will be learning how to structure and manage the capital which fuels a rapidly expanding leasing business. \n What you'll do \n\n • In this role, you will be the analytical engine of the team, supporting the senior members of the team and helping ensure our funding facilities are optimised.\n, • Securitisation & public ABS Learning: Support the management of our securitisation facilities, including the transition to public markets. This will involve helping with both rating agency and investor engagement (answering due diligence questions, analysing performance data etc.)\n, • Technical Analysis: Financial modelling, market analysis and manipulating large and at times complex data sets.\n, • Transaction Reporting: Help with the delivery of the sophisticated reporting requirements of our funders, focusing on asset performance and forecasting, including helping monitor transaction trigger levels.\n, • Stakeholder Deliverables: Handle ad-hoc data/ information requests and prepare high-quality spreadsheets and presentations for both internal and external stakeholders.\n, • Strategic Alignment: Collaborate with the broader team to ensure capital markets activities directly support the company’s overall growth agenda.\n\n What you'll need \n\n • A degree in Finance or related discipline\n, • A recent graduate or some professional experience: 1 year in a finance or data centric role (Capital Markets, Banking or Debt Advisory preferable but not a hard requirement) with an interest in securitisation.\n, • Analytical Mindset: Be highly numerate with the ability to translate complex datasets into clear, professional spreadsheets and presentations.\n, • Technical Aptitude: Possess strong data skills; you are an expert in spreadsheets and have a basic understanding of SQL to query and manage large-scale data.\n, • Proactivity & Learning: Be a self-driven "problem-solver" with a deep willingness to learn new financial structures and speak to individuals across the business to help problem solve, in a fast-paced, ever-changing environment.\n, • Communication: Present technical financial analysis to internal stakeholders.\n, • Mission Focus: Be genuinely motivated to apply your financial and technical skillset to play an important role in the Capital Markets team and help fund a business tackling climate change.\n\n Why else you'll love it here \n\n • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!\n \n • Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! Visit our perks hub - Octopus Employee Benefits\n \n • Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership\n \n • P.s. just to let you know, we are dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies\n

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London. \n Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data. \n At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly. \n Here's how you'll be contributing to the Analytics Engineering team: \n\n • \n Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling. \n • \n Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution. \n • \n Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility. \n • \n Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. \n • \n Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities. \n\n Qualifications \n What do I need to bring to the role? \n\n • \n Technical Expertise: Advanced proficiency in SQL and Python is a must. \n • \n Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models. \n • \n Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow. \n • \n Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \n • \n Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives. \n • \n Python Development: Demonstrated ability to build practical solutions using Python. \n • \n Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems. \n • \n BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset. \n\n This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here \n Additional Information \n Our Offer \n\n • \n Base salary: £85-125k gross / year base (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) \n • \n Numerous amount of best in class benefits \n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Paid annual holiday, sick days, parental leave and other leave opportunities \n • \n 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. \n We’re looking for an analytical, commercially-minded Strategy Analytics Manager to help us grow and scale the product exponentially. This is a dynamic role where you’ll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics. \n You’ll work cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. \n You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value. \n Your impact \n\n • \n Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. \n • \n Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy. \n • \n Evaluate expansion opportunities: Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. \n • \n Influence & execution: Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. Present insights and recommendations to senior leadership - clear, concise, and backed by data. Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed. \n • \n Build & mentor a small team of analysts: In time, you will hire, develop and mentor a small team of high-calibre analysts, fostering both technical growth and strategic thinking. Build a culture where people seamlessly collaborate across functions, challenge the status quo, and consistently deliver best-in-class, customer-first solutions. \n\n Your experience \n\n • \n 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) \n • \n Proficiency in coding - ideally SQL and Python \n • \n [Bonus] Experience in managing or mentoring analytical teams \n • \n [Bonus] Experience in an FCA-regulated financial services firm \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. Zable is a Mobile-App first credit card that empowers customers to build their credit score while meeting their spending and borrowing needs sustainably. \n We’re looking for an analytical, commercially-minded Senior Strategy Analyst to help us grow and scale the product exponentially. This is a dynamic role where you’ll tackle high impact business problems across a number of disciplines including pricing, financial forecasting, growth, credit risk, new product development and product analytics. \n You’ll help us solve our most complex multi-dimensional challenges, working cross-functionally to deliver insight-driven strategies that optimise performance, drive responsible growth, and put the customer at the heart of decision-making. \n You’ll operate in a fast-paced environment where ideas matter more than hierarchy, and execution beats bureaucracy. Your work will directly influence who we serve, how we grow, and how we deliver sustainable value. \n Key Responsibilities \n Drive promotions & pricing strategy: \n\n • \n Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. \n • \n Build deep insight into marketing campaign and conversion funnel performance, identifying opportunities to improve cost and conversion efficiency. \n • \n Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. \n\n Financial forecasting & portfolio analytics: \n\n • \n Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. \n • \n Define key KPIs and develop detailed monitoring to track performance against these goals, and deliver actionable recommendations to improve outcomes. Use strategic analysis to shape and influence broader business strategy. \n\n Evaluate expansion opportunities: \n\n • \n Navigate through ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. \n • \n Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. \n\n Influence & execution: \n\n • \n Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies to life. \n • \n Present insights and recommendations to senior leadership - clear, concise, and backed by data. \n • \n Approach every conversation with an open mind, valuing the strength of ideas over ego or hierarchy. \n • \n Ensure your implemented strategies are working as intended once deployed in production, validating outcomes and iterating as needed. \n\n Fast-track your career growth: \n\n • \n Opportunity to mentor and coach more junior graduate analysts, fostering their technical growth and strategic thinking. \n • \n Well defined career progression pathways to Manager/Senior Manager for high performers. \n\n Your experience \n Essential: \n\n • \n 3+ years of experience in an analytics role in any discipline (e.g. Growth, Credit Risk, Product Analytics, Marketing, etc.) \n • \n Proficiency in coding - ideally SQL and Python \n\n Desirable: \n\n • \n Experience in an FCA-regulated financial services firm \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Argos, we’re a digital-led UK retailer that keeps pushing boundaries to meet every generation with what they want, how and when they want it. As a market leader in general merchandise, serving millions of customers through our website, app, same-day delivery and Click & Collect services, we offer real opportunities to learn, grow and shape your career. With roles spanning Commercial, Buying, Merchandising, Design and Supply Chain, through to Digital, Operations, Customer Experience, Marketing, and People and Transformation , you will work with brilliant colleagues and directly shape how we serve our customers every day. From enabling inspiring choice across our owned brands, including Habitat, Chad Valley and Bush, alongside the world’s biggest brands like Apple, Lego, Xbox and Samsung, to making shopping effortlessly convenient, championing trusted value and accelerating our strategy - Argos is an exciting place to build your future. \n Marketing Technology Manager \n In a nutshell \n This role is focused on delivering our technical marketing capabilities for Argos and Habitat across inbound and outbound channels. You will be responsible for the identification, implementation, and on-going support for marketing technology for the business. \n You will be an expert in Digital Marketing best practice, and be fully capable of dealing with the technical elements of requirements across the business in areas such as tagging, tracking, and content tech including production, storage, and distribution. You’ll have experience with industry-leading tools supporting data enrichment, dynamic content development, channel activation, and insights & analytics. \n As part of a wider digital marketing team with access to support from inside the business, our agencies and key marketing platforms, you’ll support Argos and Habitat with the capabilities they need to deliver exceptional customer-first communications. \n What I need to do \n\n • Own and manage Digital Marketing tools through the stack, providing support to primary users across the business in delivering relevant and personalised messaging to our customers. \n, • Support the delivery of end-to-end Digital Marketing capability with robust, performant platform and data integrations.\n, • Developing functional capabilities by maximising usage of features within existing tools, and delivering Buy Build Partner assessments in collaboration with Product and Engineering stakeholders where capability gaps are identified\n, • Facilitating training & development on the tools for cross-functional stakeholders to ensure optimal activation of available capabilities, and unlocking operational efficiencies\n, • Planning target state strategy for this part of the stack based on assessment of business impact and operational requirements\n, • Managing relationships and contracts with suppliers we leverage to deliver market-leading communications in this space.\n, • Working collaboratively with our agency to support the delivery of complex communications programmes through an automated, data-driven delivery pipeline\n, • Build great relationships with both technical and non-technical stakeholders across the business so that work is delivered on time\n\n How I will succeed \n\n • Simplify complex information and produce clear documentation & presentation material to communicate effectively with a wide range of stakeholders; gaining buy-in across the business is crucial to succeeding.\n, • Build deep knowledge of Marketing data, operations, and execution. Leverage all group and industry knowledge to ensure you become an expert.\n, • Have strong commercial and analytical skills to work with internal teams and agencies to build business cases.\n, • Focus on outcomes and impact to ensure that all deliverables are measurable, and contribute to team and organisation objectives.\n, • Being able to deliver things quickly and proactively: Sainsbury’s is a 24/7 organisation and decisions are made at pace. Being reactive is key in retail so you should be comfortable in a fast environment (and enjoy it!)\n, • Strong influencing skills to work with a number of internal stakeholders on several concurrent workstreams\n, • Be very self-driven, the role requires someone with energy to manage the strategy from end to end at pace. \n\n What I need to know \n\n • Extensive experience of running complex, enterprise-scale MarTech to deliver successful business outcomes for large organisations. \n, • Working knowledge of optimising Marketing content tech, including digital experience platforms, headless CMS, dynamic content personalisation engines, and DAM.\n, • Strong understanding of best-practice Marketing & Customer data foundations, including experience with leveraging server-side data and analytics technologies such as GCP, GA4, Snowflake, Azure, Adobe, and Tealium to deliver customer-centric Marketing capability and accurate analytics tracking\n, • The latest developments in Digital Media, understanding the roadmaps and impact being driven by Google, Meta, TikTok, and across the Programmatic Display & Social landscape\n, • How regulatory changes are shaping the Marketing landscape, and how to leverage a privacy-centric approach to drive positive customer and business outcomes\n, • Have a strong technical background, so that you can work with developers yet discuss complex projects in a way that other (non-technical) stakeholders can understand.\n, • How to influence senior business stakeholders and create advocates for a new type of marketing within the business.\n, • How online and offline channels work together, and being able to work with attribution modelling that influences our future media buying. \n\n What I need to show \n\n • High data literacy and expert knowledge of data-driven digital marketing technology: the technicalities of how data powers effective marketing activity, especially in the content space\n, • A high level of industry and competitor awareness, with an ambition to make us a digital leader. \n, • Commercial acumen, being able to produce accurate business proposals.\n, • Strong stakeholder management skills \n, • Good project management and communication skills\n, • Clear, strategic thinking and a proactive approach to getting things done\n, • Agency and supplier management.\n, • \n Enthusiasm for scoping and delivering projects \n\n Essential Criteria \n Candidates must be able to demonstrate: \n\n • Significant experience managing and optimising enterprise-scale Marketing Technology (MarTech) platforms, delivering measurable business outcomes through customer engagement, personalisation or digital marketing programmes.\n, • Hands-on experience implementing and supporting marketing technology integrations, including digital experience platforms, CMS/DAM solutions, personalisation tools, tagging, tracking and customer data workflows.\n, • Strong technical knowledge of marketing and customer data ecosystems, including practical experience using platforms such as GA4, GCP, Snowflake, Azure, Adobe, Tealium or similar analytics and data technologies to improve marketing effectiveness and measurement.\n, • Proven experience leading complex stakeholder engagement across technical and non-technical teams, including translating technical requirements into business solutions and influencing senior stakeholders to secure buy-in and adoption.\n, • \n Demonstrable experience managing MarTech projects or roadmaps from strategy through delivery, including identifying capability gaps, building business cases, managing external suppliers/agencies, and delivering measurable commercial or operational benefits. \n\n #LI-NR1 \n "We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: \n Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. \n Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too. \n Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. \n Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n About the role: \n Wise moves billions across borders every year. Behind every transaction is a decision: is this safe? Our ML systems make that call - at scale, in real time, across every market we operate in. \n Our Risk ML team is building the next generation of financial crime detection at Wise - investing in modern architectures like deep learning, graph neural networks, and foundation models to detect increasingly sophisticated fraud and money laundering patterns. We're looking for a Staff Applied ML Engineer to lead this evolution: defining the architecture strategy, shipping production neural models, and building the blueprint that scales across FinCrime domains. \n This is a greenfield opportunity - you'll be setting the direction for how Wise applies modern ML to financial crime risk, with strong investment and engagement from senior leadership. \n How we work: \n Risk ML sits within Wise's FinCrime organisation, owning the full ML and AI foundation for financial crime detection. We're scaling into three dedicated pillars - Feature Platform, Learning Loop and Risk Modelling. You'll sit in Risk Modelling, working alongside data scientists, platform engineers, product and domain experts. \n We operate with high autonomy and low hierarchy. You'll own problems end-to-end - from research and architecture decisions through to production deployment and impact measurement. We value engineers who shape direction, not just execute tickets. \n What will you be working on? \n\n • Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale\n, • Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms\n, • Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow\n, • Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains\n, • Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible\n, • Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making\n\n What do you need? \n\n • Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints\n, • Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs\n, • Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies)\n, • Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling\n, • Track record of influencing technical strategy across teams - you don't just build, you shape direction\n, • Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration\n\n Nice to Have: \n\n • Experience in FinCrime, fraud detection, AML, or regulated financial services\n, • Experience with graph-based methods (GNNs, entity resolution, link analysis) in production\n, • Foundation model fine-tuning or LLM evaluation experience\n, • Experience establishing modern ML practices in organisations scaling their ML capabilities\n\n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £145,000 - £182,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n In a nutshell \n This role is focused on delivering our technical marketing capabilities for Argos and Habitat across inbound and outbound channels. You will be responsible for the identification, implementation, and on-going support for marketing technology for the business. \n You will be an expert in Digital Marketing best practice, and be fully capable of dealing with the technical elements of requirements across the business in areas such as tagging, tracking, and content tech including production, storage, and distribution. You’ll have experience with industry-leading tools supporting data enrichment, dynamic content development, channel activation, and insights & analytics. \n As part of a wider digital marketing team with access to support from inside the business, our agencies and key marketing platforms, you’ll support Argos and Habitat with the capabilities they need to deliver exceptional customer-first communications. \n What I need to do \n\n • Own and manage Digital Marketing tools through the stack, providing support to primary users across the business in delivering relevant and personalised messaging to our customers. \n, • Support the delivery of end-to-end Digital Marketing capability with robust, performant platform and data integrations.\n, • Developing functional capabilities by maximising usage of features within existing tools, and delivering Buy Build Partner assessments in collaboration with Product and Engineering stakeholders where capability gaps are identified\n, • Facilitating training & development on the tools for cross-functional stakeholders to ensure optimal activation of available capabilities, and unlocking operational efficiencies\n, • Planning target state strategy for this part of the stack based on assessment of business impact and operational requirements\n, • Managing relationships and contracts with suppliers we leverage to deliver market-leading communications in this space.\n, • Working collaboratively with our agency to support the delivery of complex communications programmes through an automated, data-driven delivery pipeline\n, • Build great relationships with both technical and non-technical stakeholders across the business so that work is delivered on time\n\n How I will succeed \n\n • Simplify complex information and produce clear documentation & presentation material to communicate effectively with a wide range of stakeholders; gaining buy-in across the business is crucial to succeeding.\n, • Build deep knowledge of Marketing data, operations, and execution. Leverage all group and industry knowledge to ensure you become an expert.\n, • Have strong commercial and analytical skills to work with internal teams and agencies to build business cases.\n, • Focus on outcomes and impact to ensure that all deliverables are measurable, and contribute to team and organisation objectives.\n, • Being able to deliver things quickly and proactively: Sainsbury’s is a 24/7 organisation and decisions are made at pace. Being reactive is key in retail so you should be comfortable in a fast environment (and enjoy it!)\n, • Strong influencing skills to work with a number of internal stakeholders on several concurrent workstreams\n, • Be very self-driven, the role requires someone with energy to manage the strategy from end to end at pace. \n\n What I need to know \n\n • Extensive experience of running complex, enterprise-scale MarTech to deliver successful business outcomes for large organisations. \n, • Working knowledge of optimising Marketing content tech, including digital experience platforms, headless CMS, dynamic content personalisation engines, and DAM.\n, • Strong understanding of best-practice Marketing & Customer data foundations, including experience with leveraging server-side data and analytics technologies such as GCP, GA4, Snowflake, Azure, Adobe, and Tealium to deliver customer-centric Marketing capability and accurate analytics tracking\n, • The latest developments in Digital Media, understanding the roadmaps and impact being driven by Google, Meta, TikTok, and across the Programmatic Display & Social landscape\n, • How regulatory changes are shaping the Marketing landscape, and how to leverage a privacy-centric approach to drive positive customer and business outcomes\n, • Have a strong technical background, so that you can work with developers yet discuss complex projects in a way that other (non-technical) stakeholders can understand.\n, • How to influence senior business stakeholders and create advocates for a new type of marketing within the business.\n, • How online and offline channels work together, and being able to work with attribution modelling that influences our future media buying. \n\n What I need to show \n\n • High data literacy and expert knowledge of data-driven digital marketing technology: the technicalities of how data powers effective marketing activity, especially in the content space\n, • A high level of industry and competitor awareness, with an ambition to make us a digital leader. \n, • Commercial acumen, being able to produce accurate business proposals.\n, • Strong stakeholder management skills \n, • Good project management and communication skills\n, • Clear, strategic thinking and a proactive approach to getting things done\n, • Agency and supplier management.\n, • \n Enthusiasm for scoping and delivering projects \n \n\n Essential Criteria \n Candidates must be able to demonstrate: \n\n • Significant experience managing and optimising enterprise-scale Marketing Technology (MarTech) platforms, delivering measurable business outcomes through customer engagement, personalisation or digital marketing programmes.\n, • Hands-on experience implementing and supporting marketing technology integrations, including digital experience platforms, CMS/DAM solutions, personalisation tools, tagging, tracking and customer data workflows.\n, • Strong technical knowledge of marketing and customer data ecosystems, including practical experience using platforms such as GA4, GCP, Snowflake, Azure, Adobe, Tealium or similar analytics and data technologies to improve marketing effectiveness and measurement.\n, • Proven experience leading complex stakeholder engagement across technical and non-technical teams, including translating technical requirements into business solutions and influencing senior stakeholders to secure buy-in and adoption.\n, • Demonstrable experience managing MarTech projects or roadmaps from strategy through delivery, including identifying capability gaps, building business cases, managing external suppliers/agencies, and delivering measurable commercial or operational benefits.\n

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n Data & AI Lead for Healthcare \n Role Overview \n As a Data & AI Lead for Healthcare you will support Pre-Sales and will play a critical role in shaping and delivering Data and AI opportunities across Kainos’ £100m Healthcare business. You will work closely with our Healthcare Chief Technology Officer, account leads and delivery leaders to understand client needs, shape new opportunities, and design impactful Data and AI solutions that improve outcomes across the UK healthcare system. \n You will lead client-facing engagements to define requirements, run exploratory workshops, and shape proposals that draw on your expertise in healthcare data and AI. This includes developing compelling bid responses, creating reusable accelerators and offerings, and providing subject matter assurance for delivery teams. \n In addition to your pre-sales responsibilities, you will operate as a Lead Data Architect in delivery programmes. You will shape data strategy, design and deliver fit-for-purpose data architectures, and provide assurance across all stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. \n You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. NHS England, UKHSA, NHSBSA), devolved administrations, regional health and care organisations, and clinical research bodies. \n This is a high-impact, hybrid role that combines hands-on technical leadership with strategic consulting and business development, ideally suited to someone with a strong foundation in data architecture, consulting and a passion for advancing healthcare outcomes through data and AI. \n You will be responsible for: \n Client Engagement and Pre-Sales \n\n • Leading the shaping of early-stage client opportunities, including discovery sessions and exploratory workshops with senior stakeholders.\n, • Helping qualify opportunities and develop early-stage proposals and positioning materials.\n, • Working with account teams to develop compelling, solution-driven bid responses and presentations.\n, • Creating reusable Healthcare accelerators and offerings that leverage Data & AI\n, • Acting as a trusted advisor to clients across national, regional and research-based healthcare organisations.\n\n Data Architecture and Delivery Assurance \n\n • Leading or assuring the design of complex data and AI solutions that span data integration, analytics, AI/ML and interoperability.\n, • Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.\n, • Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.\n, • Advising clients on product and technology selection, and defining information handling models across data platforms.\n, • Supporting delivery teams by providing subject matter expertise, delivery assurance and hands-on delivery where appropriate.\n\n Offerings and Thought Leadership \n\n • Creating reusable healthcare data and AI offerings and accelerators that support repeatable pre-sales and delivery activities.\n, • Helping define new go-to-market propositions, working with marketing, sales and delivery leads.\n, • Developing sales collateral that clearly articulates our value proposition in the healthcare space.\n, • Representing Kainos at industry events, panels and briefings to build credibility and network.\n\n Innovation \n\n • Staying informed on emerging trends in Healthcare Data and AI to identify opportunities for applying cutting-edge technologies in client engagements.\n, • Driving innovation by applying market-leading tools and techniques that improve the quality and impact of our Data and AI proposals and delivered solutions.\n, • Promoting a culture of experimentation and improvement within the team.\n\n People management \n\n • Leading, motivating and empowering individuals within the Data and AI practice, creating a positive, high-performing culture where people can grow.\n\n Mandatory requirements: \n\n • Experience working as a Data or AI consultant in a client-facing role, including shaping new opportunities and leading pre-sales activities.\n, • Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and governance.\n, • Proven experience delivering or assuring large-scale Data or AI programmes within the public sector or healthcare domain.\n, • Proven ability to act as a technical leader across complex data delivery programmes, including mentoring, standards development, and architecture assurance.\n, • Excellent communication and influencing skills, with the ability to operate confidently with C-level and Director-level stakeholders.\n, • Broad technology understanding, including modern data platforms, data integration, analytics, AI/ML, data governance and cloud technologies.\n, • Highly proficient in at least three mainstream data technologies and aware of wider data technology trends.\n, • Experience working across the full sales lifecycle, from early shaping through to pitch and close.\n\n Desirable requirements: \n\n • Experience working with UK healthcare bodies such as DHSC, NHS England, UKHSA, NHSBSA, devolved nations, ICSs and clinical research bodies.\n, • Deep understanding of healthcare data, interoperability (e.g. FHIR, HL7, SNOMED), and the use of data and AI to improve public health and clinical outcomes.\n, • Experience in designing or delivering secure data environments (SDEs) or similar research-oriented data platforms.\n, • Understanding of the practical application of GenAI and large language models in Healthcare.\n, • Experience with public sector procurement processes.\n, • Enterprise data architecture experience.\n, • Experience developing go-to-market offerings, accelerators or reusable assets.\n, • Involvement in industry forums, advisory groups or standards bodies relevant to healthcare data.\n\n About Kainos Healthcare \n Kainos is a digital technology company that has been delivering impactful transformation across healthcare, public sector and commercial clients for over 30 years. Our Healthcare business is a trusted partner to organisations including NHS England, UKHSA, DHSC, and regional care systems. \n We specialise in designing and delivering national-scale services that improve patient care, modernise clinical and operational systems, and enable better use of data for decision-making and research. Our work includes Secure Data Environments (SDEs), data platforms, digital front doors, and health protection systems that support the UK’s response to infectious disease threats. \n This role sits within our Data and AI Practice and will help shape the next generation of data-driven services in UK healthcare. \n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Leads the strategic vision and roadmap for a technical product, demonstrating an understanding of the product(s) and associated business areas. Products often have divisional implications. \n Leads the strategic vision and roadmap for a technical product, demonstrating an understanding of the product(s) and associated business areas. Products often have divisional implications. \n As Vanguard continues to expand its Environmental, Social, and Governance (ESG) capabilities, the need for high-quality, scalable, and interconnected ESG data has never been greater. This role offers a unique opportunity to help shape the future of enterprise data products supporting investment, stewardship, risk, compliance, and reporting outcomes across the firm. \n We are seeking a Technical Product Manager who is passionate about solving complex data challenges and building products that create value across multiple business domains. In this role, you will partner closely with the ESG Data Product Family Manager, engineering teams, data architects, operations teams, and enterprise stakeholders to evolve Vanguard's ESG Data Product into a scalable, enterprise-grade data asset that supports a broad range of investment and business use cases. \n This role sits at the intersection of product management, data strategy, and technology delivery. You will play a critical role in translating strategic priorities into actionable product outcomes while helping drive adoption of modern data management practices, semantic data capabilities, and enterprise data standards across the organization. \n Key Responsibilities \n Product Roadmap Execution & Backlog Management \n\n • Partner with product leadership to execute the ESG Data Product roadmap in alignment with business priorities and enterprise data strategy.\n, • Own and prioritize the product backlog, balancing stakeholder needs, technical dependencies, regulatory requirements, and delivery capacity.\n, • Develop clear user stories, acceptance criteria, and product requirements that enable efficient engineering execution.\n, • Collaborate closely with delivery lead, technology lead and engineers throughout planning, development, testing, and release activities.\n\n Data Product Development \n\n • Support the continued evolution of Vanguard's ESG Data Product, including semantic modelling, data relationships, data management, and cross-domain data integration.\n, • Partner with data architecture and engineering teams to ensure solutions are scalable, reusable, governed, and aligned with enterprise standards.\n, • Provide business and technical context that enables engineering teams to successfully deliver complex data capabilities while maintaining the integrity of relationships across issuers, securities, holdings, entities, funds and benchmarks across other investment data domains.\n\n Vendor Integration & Data Operations \n\n • Serve as a key technical point of contact for external ESG data providers and strategic data partners.\n, • Support the onboarding and integration of new data sources into the ESG data ecosystem.\n, • Partner with operations and engineering teams to monitor data quality, investigate anomalies, and drive continuous improvements in data ingestion and processing capabilities.\n\n Stakeholder Management & Product Engagement \n\n • Collaborate with operations teams, data consumers, and business stakeholders to understand requirements and prioritize outcomes.\n, • Translate complex business needs into structured product requirements, delivery plans, and roadmap priorities.\n, • Facilitate alignment across technical and non-technical stakeholders while managing competing priorities and expectations.\n, • Represent the ESG Data Product in product showcases, governance forums, and broader Product Management and Data communities across Vanguard.\n\n Enterprise Data Strategy & Continuous Improvement \n\n • Contribute to the advancement of enterprise data capabilities by promoting reusable data assets, common standards, and scalable data management practices.\n, • Identify risks, dependencies, and opportunities that may impact product delivery, adoption, or long-term sustainability.\n, • Stay informed on developments in ESG reporting, industry standards, investment data, and data management technologies.\n, • Continuously develop technical, product management, and domain expertise, while contributing thought leadership in the areas of enterprise data products and cross-domain data relationships.\n\n Qualifications \n Required Qualifications \n\n • 2–4 years of experience as a Product Manager, Business Analyst, Data Analyst, or similar role within financial services.\n, • Experience working with complex datasets, data products, or analytical platforms.\n, • Ability to translate ambiguous business problems into structured product requirements and delivery plans.\n, • Strong communication, stakeholder management, and influencing skills.\n, • Demonstrated ability to work effectively across cross-functional teams and navigate ambiguity.\n\n Preferred Qualifications \n\n • Working knowledge of relational databases, data pipelines, and data modelling concepts.\n, • Familiarity with SQL and Python.\n, • Exposure to semantic modelling, metadata management, data governance, or knowledge graph technologies.\n, • Experience working within Agile product delivery environments.\n, • A strong intellectual curiosity and passion for solving complex data challenges through structured and scalable solutions.\n\n What Success Looks Like \n\n • Delivers measurable business outcomes through effective execution of the ESG Data Product roadmap.\n, • Establishes strong partnerships across engineering, architecture, operations, and business teams.\n, • Builds scalable and reusable ESG data capabilities that support multiple enterprise use cases.\n, • Demonstrates ownership, accountability, and sound product judgement when balancing competing priorities.\n, • Contributes to Vanguard's broader enterprise data strategy through adoption of modern data management and product management practices.\n\n This role is ideal for candidates who are energized by complex data challenges, motivated by continuous learning, and excited by the opportunity to help shape the future of ESG data and investment data products at Vanguard. \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

hackajob is collaborating with AJ Bell to connect them with exceptional professionals for this role. \n Job Description \n As part of our continued growth and investment in our data and analytics capabilities we have an exciting opportunity for Senior Manager Data and Insights to join AJ Bell. \n As the Senior Manager Data and Insights, you will play a pivotal role in leading the delivery of high-impact data, business intelligence solutions, and commercial and customer analytics that help inform and sharpen the AJ Bell D2C strategy. \n This role sits at the heart our business and you will act as a trusted partner and adviser to our senior management team along with colleagues from product, marketing, digital and UX ensuring they have high quality data and insight at their fingertips. \n What does the job involve? \n\n • Leadership of a growing and high performing team of data engineers, BI developers, and analysts – coaching individuals and the team to deliver their best for the business. Fostering a culture of collaboration, innovation, and continuous learning to drive professional growth and development within the team. \n, • Developing and delivering the D2C data strategy through consulting with stakeholders and developing a comprehensive understanding of their goals and strategies, ensuring our data architecture is robust, fit-for-purpose and scalable against out ambitious growth ambition. \n, • Ensuring strong technical and business processes including documentation so that our data pipelines and data assets are robust, and that change is delivered in a governed and controlled manner and at the pace our stakeholders require \n, • Setting out and delivering our reporting architecture, guiding the team to continuously improve our suite of dashboards, and rolling them put to the business and taking the lead on delivering self-service and improved data literacy across the division. You’ll continually evolve our dashboard suite in line with stakeholder feedback \n, • Develop the analytics and insight roadmap, engaging with senior leaders across the business to ensure their immediate and longer-term needs are met. You will also act as the data and analytics SME in critical projects and programmes, ensuring they are supported with time-critical, relevant, and high-quality insights. \n, • Ensure the team deliver high-quality analytics projects that are accurate and on time/on brief but also that there are clear and well-evidenced recommendations and actions in place. \n, • Working closely with our stakeholders in D2C (particularly Marketing and Product) to understand their plans and strategies to develop an operating model and plans for data and analytics. \n, • You’ll also take the lead on engaging with and working closely with our central data and technology teams to deliver changes and create an aligned way of working and ensure cross-functional alignment. \n, • Continually assess our ways of working and roadmaps, proactively identifying opportunities for efficiency and innovation \n, • Working closely with our central data and technology colleagues to collaborate on projects, share best practice and agree on common ways of working across the AJ Bell data community \n, • Ensure compliance with regulatory requirements and industry standards related to data privacy, security, and confidentiality. You’ll ensure the team have effective controls in place, monitor any risks to the team, and own the rectification of any data incidents. \n, • Supporting and enabling the business to achieve its regulatory requirements, including consumer duty. \n\n About you \n\n • Significant proven experience in leading and developing data, reporting and analytics teams in financial services or a highly regulated industry \n, • Excellent long-term planning and short-term prioritisation skills, including effective communication and ensuring delivery of priorities \n, • Experience of developing a data and analytics strategy and evidence of delivering against a prioritised roadmap \n, • A track record of delivering highly scalable and robust data architecture, and in particular working with real time or near real time data and pipelines. \n, • Experience of working with diverse data sources across customer, transactional and external data, and different cadences. Experience of working with third party data enhancement and marketing data sources such as Google Analytics is highly desirable \n, • In-depth knowledge of cloud-based data architecture, database development, and management. Previous experience with Snowflake is desirable \n, • Best practice for systems and data governance including development processes and documentation \n, • Previous responsibility for business-critical data assets and platforms \n, • Hands-on experience and ownership of marketing automation platforms such as Salesforce Marketing Cloud, Braze, Marketo or Bloomreach is highly desirable. \n, • Proven understanding of GDPR and data governance, preferably in financial services \n, • Demonstrable experience of developing and scaling a high volume and complex reporting architecture and dashboard suite. \n, • Broad knowledge of business intelligence principles, approaches, and tools/platforms. Power BI is preferred \n, • Understanding of marketing and product performance metrics and approaches. Exposure to Google Analytics and user engagement tools and testing platforms such as Contentsquare, AppsFlyer, Optimizely is highly desirable. \n, • Experience of developing and applying robust AI-based approaches and LLMs to generate efficiencies \n, • Extensive experience of small- and large-scale analytical project approaches encompassing data mining, summarisation, and presentation of impactful and insightful results \n, • Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable \n, • Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders \n, • Practical experience of data science and predictive techniques such as regression modelling, cluster analysis, decision trees, etc. is desirable \n, • Strong understanding of data and systems integration and data pipelines including development approaches. \n, • Understanding of marketing and communication technologies, and modern personalised marketing principles particularly using CRM platforms and orchestration tools. \n, • Outstanding stakeholder engagement and management skills \n, • Highly effective communication skills and comfortable working with both technical and non-technical teams \n, • Proven ability to work effectively with multidisciplinary teams across technology, operations, product, and marketing. \n\n About AJ Bell \n AJ Bell is one of the UK’s fastest-growing investment platform businesses, providing award-winning solutions for everyone, from professional financial advisers to first-time investors. \n Today, over 723,000 customers trust us to manage more than £108.7 billion of assets. By continually striving to make investing simpler and more accessible, we’re helping more people take control of their financial futures. \n We’re proud to be recognised as one of the UK’s Best 100 Companies to Work For for six consecutive years, and a Great Place to Work® in 2025 and 2026 a reflection of our supportive and collaborative culture. \n What we offer \n\n • 27 days holiday, increasing with service + buy/sell scheme + bank holidays \n, • 8% Pension with matched contributions \n, • Discretionary bonus scheme \n, • Share schemes (including free shares and BAYE) \n, • Health Cash Plan and discounted private healthcare \n, • Free gym \n, • Enhanced family leave (subject to qualifying criteria) \n, • Travel and bike loan schemes \n, • Employee Assistance Programme \n\n Life at AJ Bell \n\n • Regular social events including summer and Christmas parties \n, • Learning and development opportunities tailored to you \n, • Casual dress code \n, • Friendly, supportive team environment \n\n Our ways of working \n We offer hybrid working, with a minimum of 50% of your working time per month spent in the office. This role can be based in London or Manchester. \n For new starters, there is an initial period of full-time office working to help you settle in and build relationships. \n Inclusion & diversity \n We’re committed to creating an inclusive environment where everyone feels respected and able to be themselves at work. \n We welcome applications from all backgrounds and make hiring decisions based on skills, experience, and potential.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes to feed the nation. The level of data, transactions and variety involved. Then you’ll realise this is a modern software engineering environment, because it has to be. We’ve made significant investment in the standards and principles that shape how we work. We iterate, learn, experiment and champion ways of working such as Agile, Scrum and XP. So you can look forward to exciting opportunities across everything from AI to reusable tech. \n Tech Enablement and Change Lead \n In a nutshell \n \n The Tech Enablement & Change lead will play an important role in supporting the technology transformation activities. They will support the delivery of significant technology change, with a focus on communication and storytelling to minimise and manage the impact of change whilst fostering a culture of continuous improvement. \n What I am accountable for: \n \n • Supporting the cultural evolution that will be essential to the successful day-to-day running of our desired operating model. \n • Working closely with stakeholders as needed to understand business objectives, challenges, and transformational goals for technology change. \n • Utilising experience and understanding of various business change models, tools and techniques to support change. \n • Supporting assessments and analysis of current processes, systems, and organisational structures to identify opportunities for change and develop comprehensive change management strategies and plans. \n • Supporting workshops to develop inputs to analyse and to share emerging ideas or final conclusions. \n • Contributing to training needs analysis, performing gap analysis and supporting the creation of associated training plans. \n • Supporting the definition of the vision, goals, and benefits of the change initiatives. \n • Involved in the establishment of communities of practice. \n • Involved in our tech literacy effort to upskill Sainsbury’s at large on our transformation agenda and drive better decisions and common understanding amongst non-tech stakeholders. \n • Produces clear and concise content that explains change within and without of technology. \n What I need to know - Essential: \n \n • Experience in specific Change Management roles, or Management Consulting. \n • Experience of supporting complex change activities within a technology environment or similar role. \n • Evidence of effective change management and communication strategies for initiatives or programmes. \n • Demonstrated ability to take ownership and manage projects from start to finish. \n • Strong focus on execution and ability to manage ambiguity. \n What I need to know - Desirable: \n \n • Retail experience \n What I need to show: \n \n • Excellent communication, relationship, facilitation and storytelling skills \n • Excellent Powerpoint and/or graphic design skills to support communication and engagement materials \n • Excellent analytical and problem-solving skills, with the ability to think strategically \n • Familiarity with project management methodologies \n • Understanding and experience of Agile practices and mindset \n • E-commerce and/or retail sector experience is desirable \n • Attention to detail \n Our Valued Behaviours are our common DNA that every colleague should live by and provide the benchmark for how we deliver our goals/individual contribution, and how we relate to other colleagues in the organisation. \n Own it \n • Do what you say you’ll do \n • Don’t walk past a problem \n Make it better \n • Improve things for your customer \n • Spot opportunities to simplify \n Be human \n • Walk in the shoes of your colleagues and customers \n • Show care and respect to everyone \n \n In addition to role modelling the Valued Behaviours, all People Managers should be consistently driving all four Leadership Performance Expectations, all the time. The Leadership Performance Expectations are: \n Obsessed with the customer \n • You must: \n • Use data and insight to understand customer needs and solve customer problems. \n • Use our Purpose to support decision making everyday. \n • Role model living our customer commitments and guide teams to do the same. \n Obsessed with performance \n • You must: \n • Know and be accountable for your part to play, delivering it brilliantly. \n • Align team goals and ruthlessly prioritise resources to deliver our Customer Commitments. \n • Assign clear accountabilities, hold people accountable (in your team and out) and act on performance both good and bad. \n Lead beyond boundaries \n • You must: \n • Actively share and seek to understand the big picture, both internal and external. \n • Story tell our Next Level Sainsbury’s strategy to drive end-to-end thinking. \n • Build productive partnership inside and outside our organisation. \n Lead fearless teams \n • You must: \n • Create the environment for diverse perspective and challenge, where we are always looking to raise the bar. \n • Grow everyone around you (up, down and across) through adult-to-adult feedback and coaching. \n • Know yourself (strengths, weaknesses and impact on others) and continuously develop. \n Support we will provide: \n \n • Full system and process training for the role. \n • Wider Portfolio team for direction and guidance. \n • Access to personal development tools e.g. Bitesize talks, online self-development tools, internal mentoring etc. \n #LI-KF1 \n " We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Your Mission: \n At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company. \n Due to continued and rapid growth we’re on the hunt for a Senior Data Analyst to join our Growth and Strategic Finance Team in London. You’ll be part of the team that helps pilot the rocket ship. \n What you’ll be doing: \n\n • \n Your principal responsibility will be to generate insights that lead us to better decisions for the company and our customers \n • \n Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company \n • \n Depending on the project you’re working on, you’ll doing the following: \n \n • \n Helping us understand what’s driving our growth at a company or regional level \n • \n Understand our customer segments and cohorts, and how they contribute to our growth \n • \n Tie our customer acquisition and activity to marketing or product initiatives, to measure the realised financial return of those initiatives \n \n\n Who you are: \n\n • \n 3 years experience in similar roles \n • \n Mathematical or quantitative background \n • \n Strong SQL skills \n • \n Familiarity with Python/R \n • \n Strong analytical ability \n • \n Decent understanding of stats and statistical modelling \n • \n Data visualisation and storytelling ability \n • \n Ability to self organise and manage stakeholders \n • \n Demonstration of impact/going above and beyond basic role requirements \n\n Desirable \n\n • \n DBT \n • \n Data modelling in a warehouse context \n • \n Understanding of testing and experimental design \n • \n Legally authorised to work in the UK \n\n Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK. \n Additional Information \n Some of our benefits: \n Base salary of £60,000 - £85,000 \n RSU's in a growing and public company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n ♀️ Lots of fun group activities like yoga, running and boardgame nights \n Find out more about our benefits in our London office. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n As a financial technology company moving billions of GBP of customer money in over 70 countries, Wise must have bulletproof financials. We need timely, accurate, and scalable financial data to be compliant with regulations and make strategic business decisions to support our hyper-growth and financial objectives. \n Due to our continued expansion, we’re on the hunt for a seasoned, highly strategic Finance Business Partner Leader to join our FP&A team in London. In this role, you will be the primary lead for the financial oversight of our Core Functions, responsible for mentoring and developing a high-performing group of two Senior Finance Business Partners and an Analyst. Your core focus will be supervising team output and leaning into complex business challenges, while spearheading our global workforce financial strategy and collaborating cross-functionally with peer FBPs Leads. \n Your Mission \n You will be the ultimate strategic financial partner to our Chief People Officer (CPO), her People Leadership Team and the Senior Leadership Teams that lead our Core Functions (Finance, Legal, Treasury, Risk, Compliance, and People). In addition to managing costs within the Functions, your mission will be to help us centralise and actively optimise how we manage workforce costs by improving our internal processes, driving strategic location expansion and extending our planning horizon. \n Key Responsibilities \n\n • \n Leadership & Team Management: Lead , mentor, and elevate two Senior Finance Business Partners and Analyst, ensuring cohesive delivery of financial planning, cost control, and analysis across all Functions. \n • \n Executive Narrative & Communication: Translate complex financial data and variance analyses into high-impact strategic narratives for the leadership team, providing actionable insights that influence company-wide decision-making. \n • \n KPI-driven Performance Management: Establish, track, and own the critical financial KPIs and metrics relating to organisational health, span of control, location concentration, and cost-per-head to drive accountability across departments \n • \n Global Headcount Governance: Oversee employee benefit expenses and headcount management framework for the entire business. You will collaborate closely with stakeholders and peer Senior FBPs across other departments to ensure a unified, standardised approach to headcount management. \n • \n Automation & Process Evolution: Drive the automation of headcount tracking and employee benefit expenses reporting towards scalable, tool-driven architectures to maximise efficiency and data integrity. \n • \n Strategic Workforce Management: Partner with the CPO and People Leadership Team to drive the long-term financial strategy behind global workforce location expansion, talent mapping, and organisation design to optimize our workforce costs sustainably. \n\n This role will give you the opportunity to: \n\n • \n Lead and Scale a Team: Act as a player-coach, mentoring senior talent within your team while building strong connections across the wider FP&A team and beyond \n • \n Shape Global Strategy: Play a defining role in how Wise scales its global footprint and optimises its largest investment our people through progressive, long-term workforce planning. \n • \n Drive Executive Level Influence: Act as a trusted advisor to the leadership team, turning complex data into clear, actionable insights that guide our global investment decisions. \n\n Qualifications \n A bit about you: \n\n • \n People Management & Collaboration: Proven track record of managing senior-level finance professionals and driving matrixed collaboration with peer finance partners to achieve company-wide objectives. \n • \n Deep Strategic Partnering: Extensive proven experience partnering with senior leadership teams, specifically within People and Functions, becoming a deeply trusted advisor. \n • \n Workforce & Scale Expertise: Demonstrated track record of managing complex, company-wide headcount structures, long-term workforce planning, international location strategies, and substantial operational expense budgets. \n • \n Data & Automation Mindset: Passionate about leveraging technology and automation to eliminate manual processes; strong experience building KPI dashboards and predictive models. \n • \n Financial Modelling Mastery: Advanced expertise in building, scaling, and owning complex financial frameworks and capacity models, with a strong preference for enterprise planning tools (e.g., Anaplan). \n • \n Credentials: You hold a professional finance qualification (ACA / ACCA / CIMA) or equivalent (MBA / Masters in Finance) with extensive post-qualification experience, alongside a strong grasp of IFRS and corporate accounting. \n\n Skills: \n\n • \n High-Level Influencer: Exceptional communication skills with the ability to articulate complex financial concepts clearly and strategically to influence the leadership team. \n • \n Systemic Thinker: You love digging into data, but you naturally zoom out to see the macroeconomic and organisational interdependencies, applying a strict KPI-driven lens to problem-solving. \n • \n Comfortable with Ambiguity: Highly adaptable, resilient, and thrives in a fast-paced, evolving tech environment. Firm and forceful on guardrails when required, yet collaborative. \n • \n Project Leadership: Strong project management skills, capable of driving cross-functional alignment across multiple offices, time zones, and complex stakeholder groups. \n • \n Humble Execution: While you operate at a leadership level, you aren't afraid to roll up your sleeves and validate the data yourself when needed. \n\n Bonus points for: \n\n • \n Experience in a hyper-growth FinTech or fast-paced global tech company. \n • \n Direct experience working closely with Workday and Anaplan integrations. \n • \n A background utilising AI to optimise financial processes, data pipelines, and headcount forecasting. \n\n Additional Information \n Salary range: £112K - £150K \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a Lead Data Analyst to join the Wise Platform Pricing Analytics team at Wise. \n Wise Platform brings the reach and low cost of Wise to business partners - read more about Wise Platform here. \n The Wise Platform Pricing Analytics team manages the pricing model and P&L analysis for Wise Platform. The team supports Wise Platform by calculating prices for partners, monitoring and reviewing the financial sustainability of the program, and finding opportunities to continue improving the growth and profitability of the company. \n This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. \n WHAT YOU’LL BE DOING \n\n • \n Proactively identify and propose the most relevant and strategic pricing and cost problems to solve for Wise Platform, ensuring solutions directly link to achieving profitability and growth outcomes \n • \n Lead deep-dive investigations into complex cost data, driving improvements in upstream data quality and revenue and cost allocation methodologies within the Product Economics domain \n • \n Explain the underlying product economics that contribute to prices, and liaise with subject matter experts to gather detailed knowledge on economic drivers \n • \n Monitor and review the financial performance of Wise Platform, surfacing insightful and actionable insights on the main drivers of profitability \n • \n Contribute to and influence improvements to the pricing model by applying detailed knowledge of costs and cost drivers to appropriate pricing strategies \n\n WHAT YOU’LL BRING \n\n • \n 5+ years of experience in data analytics \n • \n Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change including analytics, engineering, and business specialists \n • \n Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights \n • \n Experience with dbt and robust data modelling, including the ability to navigate complex dbt projects and create reusable, maintainable data assets for scalable analytics \n\n NICE TO HAVE BUT NOT ESSENTIAL \n\n • \n Experience working on Pricing, especially B2B Pricing \n • \n Experience working in Fintech or Financial Services \n • \n Experience using Lightdash or Superset \n • \n Knowledge of advanced analytics techniques, including the use of Python and statistical modelling \n\n Additional Information \n Some of our benefits: \n Base salary of £75,000 - £115,000 \n RSU's in a growing and public company \n Work from (almost) anywhere in the world for up to 90 days a year \n Flexible working - you’re trusted to do the right thing and be responsible \n Private Medical Insurance + Life Insurance \n ️ Discounted gym memberships and cycle to work scheme \n ️ A paid 6-week sabbatical leave after four years \n 26 weeks maternity leave at full pay \n An annual self-development budget \n Annual Mission Days festival \n Pet friendly offices \n ♀️ Lots of fun group activities like yoga, running and boardgame nights \n Find out more about our benefits in our London office. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with TradingHub to connect them with exceptional professionals for this role. \n Compensation: Competitive (Financial Services) \n About TradingHub \n Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. \n With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. \n The Role \n We are seeking a Software Engineer to join our Web team – which is responsible for the underlying web frameworks which power our MAST and CaaS products and internal tools. Our goal is to allow financial institutions to create front to back controls that monitor regulatory risk. To do this, they need to be able to configure metrics that analyse their data and a dashboard that shows the results of this alert \n As an Engineer, you’d be working across our product platform to deliver implementations, library code, and new features used by some of the world's leading financial institutions, you’ll also become a trusted point of contact for other teams working closely with product, quants and other engineers \n The role will suit a candidate who is curious, problem-solving-led, and wants to apply strong development fundamentals in a fast-paced, high-impact environment. \n Responsibilities: \n\n • \n Implement technical requirements from the Product and Metrics teams across our platform and library code \n\n\n • \n Take ownership of parts of the application stack, ensuring it operates in a reliable, , scalable, and performant manner, with strong observability into production behaviour \n\n\n • \n Build and maintain both the front-end components and the back-end, giving our customers the tools to investigate complex trading scenarios with clarity and speed \n\n\n • \n Collaborate cross-functionally with Engineering, Quant and Product teams to shape and deliver new features \n\n\n • \n Participate in code reviews, stand-ups and design discussions, contributing to a high-quality engineering culture \n\n\n • \n Grow into technical ownership of specific pieces of the stack as you develop within the team \n\n Requirements \n\n • \n 1–3 years' commercial experience as a software engineer \n\n\n • \n Solid experience with C# / .NET and ASP.NET or other object orientated frameworks \n\n\n • \n Front-end exposure with at least one modern framework (Blazor, React, Angular or Vue) \n\n\n • \n Knowledge of data structures and algorithms \n\n\n • \n Willingness to learn financial markets \n\n\n • \n Demonstrable experience of building software products from start to finish \n • \n Knowledge of Cloud based desirable (AWS, Azure or GCP) \n\n Benefits \n Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. \n Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. \n Employee Benefits: \n\n • \n Annual discretionary performance bonus (permanent employees only) \n • \n Hybrid working policy \n • \n Office lunches twice a week \n • \n Private medical insurance + dental cover \n • \n Extended parental leave (up to 6 months of fully paid maternity leave) \n • \n 25 days annual leave + bank holidays \n • \n Enhanced company pension plan \n • \n 5 days study leave towards professional qualifications \n • \n Salary sacrifice schemes \n • \n Death in service coverage \n\n Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! \n TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. \n We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n Sainsburys Tech - Delivery Manager – Data Ecosystem \n \n We can consider a London, Coventry or Manchester base location for this role. \n \n As a highly experienced Delivery Manager in Sainsbury’s Tech you’ll collaborate with our Product, Engineering, and business teams to lead the delivery across multiple initiatives, contributing towards key strategic outcomes and programmes to generate customer, colleague, and business value. With a significant uplift in tech investment in the coming years, we have lots of transformational initiatives to deliver in Sainsbury’s Tech and the Delivery Manager role will play a key part in our success to ensure delivery excellence. \n \n More about the role: \n\n • The role will be both hands-on delivery & line management of 2+ Delivery Managers & oversight of those initiatives.\n, • Through partnering with multiple cross functional teams in Data & Tech and stakeholders across the business, own the delivery of new data products and complex changes in an agile environment.\n, • Tailor delivery approaches and methodologies, whilst setting up governance frameworks that are appropriate for the outcomes being delivered.\n, • Build and maintain underpinned plans, including deployments and rollout schedules.\n, • Manage stakeholders and define RACIs to ensure proper ownership of artefacts, decisions, and deliverables.\n, • Identify, anticipate, manage and communicate key risks, issues and dependencies, removing blockers for teams.\n, • Work collaboratively with Engineering, Product and other Delivery Managers to align on cross squad dependencies, surfacing and dealing with conflicting demands, escalating where necessary. \n, • Utilise strong influencing skills to drive decision making with teams, stakeholders and with the Tech leadership. \n, • Report progress against key milestones regularly to all stakeholders and into Tech governance forums.\n, • Conduct post implementation reviews to drive a culture of continuous improvement and proven value delivery, ensuring that learnings are fed through the wider Tech approach to delivery.\n, • Actively contribute to the Delivery Community of Practice.\n\n \n More about you: \n\n • Extensive experience working as a Delivery/Programme Manager, supporting and managing the delivery of complex multi-team initiatives within a technical landscape bridging the gap between business strategy & engineering execution including: \n \n, • ETL/ELT & Data Pipeline knowledge\n, • Data Modelling & Architecture\n, • Data Quality & Governance\n, • Data observability\n, • Cloud data ecosystems\n \n, • Prior experience of managing a team of delivery professionals to create a high-performing team.\n, • Proven experience in Agile/Scrum and Waterfall planning and successful delivery. \n, • Experience of working in a complex matrix organisation. \n, • Experience with managing compliance – Legal, regulatory, contractual, privacy, infosec, architecture.\n, • Highly proficient in status tracking and reporting, RAIDD, with experience of working with a company-wide governance framework.\n, • Proven experience in managing key change delivery activities such as task planning, workforce planning, service transition, post implementation review, value delivery management.\n, • Strong organisational and prioritisation skills, as well as the ability to analyse and solve problems logically.\n, • Bold, curious, and resilient. Comfortable with driving decision making, challenging assumptions and taking risks.\n, • Highly effective at developing and maintaining strong working relationships across the business working in an authentic way.\n, • Experience working with and managing 3rd party technology partners/vendors.\n, • Strong communication skills to convey key messages, tailoring your approach as required to different audiences.\n, • Participate in technical detail, showing an understanding of the technical landscape whilst describing technical choices and trade-offs to stakeholders and leadership.\n, • Understanding of project/change budgets and how to manage them. \n\n \n Essential Criteria: \n\n • Extensive experience as a Programme/Delivery Manager ideally in a Commercial/Supply Chain/Retail Tech domain, supporting and managing the delivery of complex multi-team data products within a technical landscape and matrix organisation.\n, • Highly proficient in building delivery plans, status tracking & reporting, RAIDD within Atlassian's Jira Software and Jira Product Discovery products.\n, • Experience delivering change within a regulated & compliant technical landscape & into business operations – partnering with Legal, regulatory, compliance, privacy, information security, architecture & service teams.\n, • Proven experience in managing technical & business stakeholders to deliver key change activities across multiple teams concurrently, such as task planning, workforce planning, system integration, quality management and testing, data migration, service transition, post implementation review, value delivery management and project / change budgets.\n, • Highly effective at developing and maintaining strong working relationships with 3rd party technology partners/vendors. \n, • Certifications - at least one of the below: \n \n, • Project/Program management frameworks: PMBOK, APM, PRINCE2 or similar \n, • Agile PM, SAFe Release Train Engineer / SAFe Agilist or similar \n \n

hackajob is collaborating with Conveo.ai to connect them with exceptional professionals for this role. \n What we are building at Conveo \n Conveo is the AI research platform enabling fast, affordable, and high-quality consumer / B2B research. Global brands use our AI video interviewer to generate insights across marketing, product, and research teams. \n #1 What problem are we solving and why is this an important problem to solve \n The current/traditional research methods companies rely on are slow, expensive, and superficial, thereby limiting the quantity and quality of research companies can conduct. Running great research also requires expertise which is a blocker to many companies. That directly affects how well companies understand their customers and how well they can serve them. \n #2 The team you will join \n You will join an extremely talented team of incredibly passionate, high-energy people. We go the extra mile while having the best time of our lives. Our team has the combination of decades of market research knowledge, incredible engineering ability, and experience building companies. \n #3 How we operate \n\n • \n We truly care about our clients and the problem we solve. That means we humbly go the extra mile every time. \n • \n We work hard and we have fun. \n • \n To keep our quality bar incredibly high, we want to execute with the smallest possible team. \n\n About the Role \n We are winning Fortune 500 clients at warp speed while expanding internationally and growing our team. \n As Finance & Strategy Associate, you will work directly with the founders and leadership on the numbers behind every major decision — combining hands-on financial operations with the strategic analyses that shape how Conveo scales through Series B and beyond. \n In this role, you'll start by being the operator and guardian of Conveo’s financials, work directly with founders and leadership across all divisions, and drive the discussions for every significant call on capital, revenue and expenses, hiring, and growth. In other words, you will be Conveo’s architect that knows every figure of Conveo’s financials. \n This role is for a generalist willing to drive financial and strategic decision-making — someone who moves comfortably between owning the numbers and shaping the decisions behind them. \n The early months will be predominantly finance-focused whilst operating, building, and scaling the finance function and reporting directly to the CFO. However, the role also has potential to focus more pure strategic aspects. How much you lean into broader strategy and GTM work over time will depend on business needs as well as your own aspirations and capabilities. \n Your Mission \n Make Conveo’s finance function bullet-proof for hypergrowth: \n\n • \n Financial architecture — bring structure and scalability to the finance function: design, implement, and optimise the financial systems (e.g. ERP setup, expense controls, tools optimisation), processes, and internal controls that take Conveo from 70 to 200+ people \n • \n Cash & runway mastery — give the company and investors real-time clarity on cash burn and liquidity management, enabling fast and confident decision-making \n • \n Finance operations — manage and optimise A/R & A/P, compliance, transfer pricing, VAT, and set up of financial budgets \n • \n Financial strategy & planning — financial models, hiring plan, scenario analyses, KPI tracking and monitoring \n • \n Accounting — coordinate with accountants to close and consolidate the books across our US, UK, and BE entities \n • \n Investor & board reporting — own financial reporting for investors, support in future fundraising, and build financial credibility that unlocks Series B \n • \n Business orchestration — ESOP & commission plans, pricing, deal economics, capital allocation \n • \n Fundraising — Series B preparation, subsidies, financial due diligence, additional ways of financing \n • \n Research markets and competitors — map new verticals, analyse competitor positioning, identify ICP patterns, and surface insights that sharpen our strategy \n • \n Support sales enablement — build battlecards, vertical-specific messaging, and materials/tools that help the sales team win \n\n The weighting across these areas will shift with business needs and your aspirations over time. \n What we're looking for \n Must-haves \n\n • \n 1–4 years of experience, ideally in investment banking, consulting, PE/VC, or a high-growth startup \n • \n Model mastery: three-statement modelling, scenario analysis, business cases, and ad-hoc models \n • \n Strong analytical and communication skills — able to translate numbers into decisions for non-finance stakeholders \n • \n Unmatched interest in high-growth startups \n • \n Strong SaaS metrics understanding: ARR, NRR, CAC, LTV, burn multiple \n • \n Familiarity with accounting \n • \n Ability to start in August, the earlier the better \n • \n Willingness to work in UK or BE \n • \n Fluent in English \n\n Mindset \n\n • \n Builder — thrives in 0-to-1 environments and creates structure from scratch \n • \n Low ego — happy to switch between strategic analysis and hands-on ops work \n • \n Precise — strong eye for detail and numerical accuracy \n\n Bonus \n\n • \n Familiarity with Belgian, UK and US accounting \n • \n Part of Series B or C fundraising and experience with financial DD \n • \n Some touchpoints with FP&A are a plus but not a necessity \n • \n Experience with 409A, R&D subsidies, tax administration, transfer pricing \n\n What success looks like \n\n • \n Timely and accurate management of payables and receivables \n • \n Financial model and KPI tracking actively driving decisions \n • \n Live burn, runway, and KPI dashboard trusted by leadership and investors \n • \n Financial results as well as board and investor reporting delivered on time \n • \n Strategic analyses (pricing, hiring, expansion) shaping key calls \n • \n Conveo financially sound and prepared for Series B \n\n Why join us? \n\n • \n Conveo closed its Series A round — with backing from Tier 1 investors \n • \n Shape finance & strategy from Series A to Series B and beyond \n • \n Fortune 500 clients with exposure through industry events across the globe \n • \n Competitive compensation (including equity) \n • \n Rapidly growing organisation with offices across London, Antwerp, New York, and upcoming cities \n\n Compensation Range: £50K - £90K

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact. \n \n As a Lead Software Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific products and projects, providing opportunities to engage in areas such as fraud & financial crime prevention, identity services, money transfers, card payments, lending, customer onboarding, core banking, insurance products, rewards campaigns, and servicing innovations. \n Job responsibilities \n\n • Deliver end-to-end solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and the best industry practices\n, • Use domain modelling techniques to allow us to build best in class business products.\n, • Structure software so that it is easy to understand, test and evolve.\n, • Build solutions that avoid single points of failure, using scalable architectural patterns.\n, • Develop secure code so that our customers and ourselves are protected from malicious actors.\n, • Promptly investigate and fix issues and ensure they do not resurface in the future.\n, • Make sure our releases happen with zero downtime for our end-users.\n, • See that our data is written and read in a way that's optimized for our needs.\n, • Keep an eye on performance, making sure we use the right approach to identify and solve problems.\n, • Ensure our systems are reliable and easy to operate.\n, • Keep us up to date by continuously updating our technologies and patterns.\n, • Support the products you've built through their entire lifecycle, including in production and during incident management\n\n Required qualifications, capabilities & skills \n\n • Formal training or certification on software engineering concepts and applied experience\n, • Recent hands-on professional experience as a back-end software engineer\n, • Experience in coding in a recent version of the Java programming language\n, • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)\n, • Excellent written and verbal communication skills in English\n, • Experience with cloud technologies and distributed systems, RESTful APIs and web technologies.\n, • Knowledge of messaging frameworks.\n, • Seasoned with operating, supporting and the security of mission critical software applications.\n, • Understanding with different kinds of data stores (including relational data stores)\n, • Coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.\n, • Manage stakeholders and effectively prioritize work across multiple work streams.\n\n Preferred qualifications, capabilities & skills \n\n • Experience in working in a highly regulated environment / industry\n, • Seasoned with cloud-native microservices architecture\n, • Proficient with AWS cloud technologies\n\n \n #ICBEngineering #ICBCareers \n \n \n \n \n About Us \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n About the Team \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n THE ROLE \n We’re looking for a Senior Data Science Manager to lead the team building the models that power our global marketing engine. You’ll be the strategic partner to our Global Marketing teams, building the LTV, MMM, and CRM models that pinpoint exactly where Wise scales next. \n This role is about bridging the gap between deep technical research and real-world impact. By ensuring our model outcomes are robust, transparent, and—most importantly—actionable, you’ll turn complex data science into the insights that drive our mission and reach millions of customers worldwide. \n WHAT YOU’LL DO \n\n • \n Drive Growth Strategy & Real Impact: Partner with Analytics, Marketing Channels Leads, and Finance to define the strategy for our marketing investments across the globe. You will be responsible for quantifying and communicating the business value and ROI of our data science initiatives, translating complex insights into actionable strategies for senior leadership. \n • \n Technical Leadership & Innovation: Lead the research, experimentation, and rapid iteration in developing and evaluating advanced data science models for Marketing. This includes pioneering new approaches and refining existing methodologies for Marketing Mix Models (MMM), Customer Lifetime Value (LTV) modelling, and CRM modelling. You will driving innovation in how we build, validate, and deploy models that accurately predict customer behaviour, measure campaign effectiveness, and inform strategic marketing investments, directly contributing to Wise's growth \n • Coach,Mentors & Scale: Lead, mentor, and grow the team building technical capabilities, fostering career development, and promoting knowledge sharing on cutting-edge technologies and methodologies. You will also be responsible for prioritising projects and allocating resources effectively within the data science team to ensure alignment with strategic objectives and timely delivery of impactful solutions.\n\n Qualifications \n WHAT YOU’LL BRING \n\n • \n Technical Expertise: 7+ years hands-on experience. Strong technical foundation with expertise in coding (Python, SQL). You possess deep expertise in lifetime value (LTV) modelling and econometrics / marketing mix modelling, complemented by a strong understanding of statistics, particularly Bayesian reasoning, which enables you to accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range of model types, confidently selecting between gradient boosting, neural networks, linear regression, or a blend, based on the specific problem and desired outcome. \n • \n Leadership: 2+ years experience leading high-performing data science teams, driving the development of models in Marketing. Demonstrated ability to build, scale, mentor, and retain top technical talent, fostering collaborative and innovative team cultures. \n • \n Domain Expertise: Experience in marketing operations and strategy with a deep understanding of the customer lifecycle from a marketing perspective. This includes expertise in customer acquisition, retention, engagement strategies, marketing campaign drivers, and the unique data challenges inherent in measuring marketing effectiveness, LTV, MMM, and CRM. \n • \n Communication & Influence: Excellent communication skills with the ability to translate complex technical concepts into strategic business language and build consensus across diverse stakeholder groups. \n • \n Strategic Ownership & Pragmatism: Demonstrated ability to proactively identify impactful opportunities, influence business strategy, and drive initiatives to completion. You possess a pragmatic approach, effectively triaging requests and adapting analysis scope to achieve optimal outcomes in a fast-paced environment. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n\n • \n An advanced degree (Masters / PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. \n • \n Experience within Financial Services or FinTech \n\n Additional Information \n #LI-CH1 \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with BNY to connect them with exceptional professionals for this role. \n Director - Application Development Manager \n At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. \n Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. \n We’re seeking a future team member for the role of Director - Application Development Manager to join our team. This role is located in London. \n Position Overview \n We are seeking an exceptional engineering leader to drive the design, development, and delivery of a greenfield Corporate Actions Processing Engine – a mission-critical, enterprise platform for BNY. In this high-visibility role, you will combine hands-on technical expertise with architectural leadership, to transform our Corporate Actions processing capabilities and have a significant influence on the technology direction of our platform. \n In this role, you’ll make an impact in the following ways: \n\n • \n Serve as a Technical Lead for the Corporate Actions Platform owning the end-to-end delivery of critical components \n • \n Design and implement scalable, high-performance full-stack solutions using Java, Oracle, and enterprise messaging frameworks \n • \n Utilise and drive adoption of AI capabilities into the team’s daily practice to accelerate delivery \n • \n Ensure all solutions align with architecture standards for mission-critical systems \n • \n Lead code reviews, establish engineering best practices, and champion technical excellence across the team \n • \n Provide technical mentorship and coaching to development teams across global locations \n\n To be successful in this role, we’re seeking the following: \n\n • \n Technical Skills \n \n • \n Significant experience in software engineering experience with additional experience in leadership roles (eg. Head of Engineering, Technical Lead) \n • \n Expert-level proficiency in Java and frameworks like Spring Boot for building microservices \n • \n Strong expertise with relational databases (Oracle) and data modelling expertise (canonical data models, JSON) \n • \n Deep experience with enterprise messaging platforms (Kafka, IBM MQ) \n • \n Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems \n • \n Full-stack development experience (RESTful APIs, front-end frameworks such as Angular) \n • \n Experience with Cloud and Containerization technologies \n • \n CI/CD pipelines, DevOps practices, and automated testing frameworks \n \n • \n Domain Expertise \n \n • \n Significant experience in financial services, specifically: \n \n • \n Post-trade processing and settlement \n • \n Custody and asset servicing operations \n • \n Corporate actions lifecycle (dividends, stock splits, mergers, tender offers, etc.) \n \n • \n Proven track record delivering mission-critical systems in banking environments \n \n • \n Leadership & Delivery \n \n • \n Demonstrated success leading engineering teams through complex, multi-year transformation programs \n • \n Strong Agile/Scrum methodology experience \n • \n Excellent stakeholder management and communication skills at senior levels \n • \n Ability to operate in a matrixed, global organization \n \n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n Here’s a few of our recent awards: \n\n • \n America’s Most Innovative Companies, Fortune, 2025 \n • \n World’s Most Admired Companies, Fortune 2025 \n • \n “Most Just Companies”, Just Capital and CNBC, 2025 \n\n Our Benefits and Rewards: \n BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. \n We’re a business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All this equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match. \n As a data rich organisation we operate a highly personalised and extensive multi-channel marketing programme across digital, in-store and at home and with our Marketing colleagues are accountable for driving business sales, profit and market share. We identify when customers are at risk of churning and re-ignite their loyalty to the business before they lapse from us. We grow sales from individual customers both to support key categories, but also the business’s overall sales line. We drive additional visits, more items in the basket, and use of more of our multiple channels and propositions by our customers. Making proper use of our data is essential to every aspect of all our programmes. \n Digital Marketing & CRM Analytics focus on acquiring and securing Sainsbury’s customers through the efficient use of digital paid media channels and driving deeper engagement with Sainsbury’s through Digital Propositions CRM programs. The common goal is to ensure that this significant marketing investment is managed prudently and drives ROI. \n The Analytics Manager will be themselves an exceptional analyst and will lead their team to carry out our most complex modelling, forecasting, tool building, and insights-generation in-house, using agile working methodologies to make sure we’re delivering the right priorities. \n What outcomes I need to deliver \n\n • You will lead an agile, high calibre team of Marketing Analysts (both on and off-shore) and be responsible for delivering forecasting, targeting, post campaign analysis and optimisation across digital marketing and digital proposition campaigns. \n, • Influence Digital and CRM Marketing stakeholders in developing channel and proposition strategies and annual plans – defining the central role for customer, data and analytics.\n, • Continually seek new and improved methods of assessing our activity to ensure that we are as confident as possible that we are driving greater customer value and the greatest return on investment.\n, • Work closely with Data Science and Marketing colleagues to help develop new programmes and evolve existing campaigns. Apply knowledge of analytical and statistical techniques, software and data sources to develop models of customer behaviour as foundations for these campaigns and to inform this collaboration.\n, • Work with Technology and Marketing teams to ensure the emerging MarTech strategy meets the ambitions of our CRM and Digital Marketing aspirations.\n, • Lead the migration of Food Digital Propositions CRM reporting to PowerBI ensuring Marketing and Finance stakeholders can self-serve all relevant campaign analysis from a consolidated suite of dashboards.\n, • Build, lead, develop and motivate a high performing team of analysts. Work with Accenture leadership team to optimise the shape and impact of our offshore capability.\n, • You will lead and uphold the development and standards of your team and their outputs, enabling individuals to reach their full potential.\n, • You will be an ambassador for Analytics best practise, including ethics, governance, security, and assurance.\n\n What you need to know and show \n\n • An inquisitive mind, constantly seeking opportunities and solving problems with curiosity.\n, • A strong quantitative academic background likely to consist of a university degree (e.g. statistics, mathematics, physics, machine learning, engineering)\n, • Experience of Marketing Campaign design and analysis and/or Insights is essential, working with customer data to find key insight and drive business change\n, • You excel in managing experienced teams, elevating their performance by coaching and upskilling them in analytics techniques, and supporting them through the analytics life cycle. \n, • Demonstrate a strong commitment to agile working practises in order to deliver maximum value from the team through rigorous prioritisation and workstack management\n, • A strong commitment to accuracy and rigour in the analysis produced within the team\n, • Extensive programming ability across Python, R and SQL, with a proven experience of analysing data in a corporate environment. A strong understanding of coding efficiency and best practice and an ability to install this in the wider team.\n, • A track record of developing powerful data visualisation products which clearly articulate topline performance as well as enabling drill down to understand the drivers.\n, • Identify opportunities for automation, minimising repetitive tasks and tailoring the analytical and reporting tools available, and/or investigating new options to deliver the required output\n, • A strong customer mindset, ensuring customer outcomes are integrated into broader Analytics projects.\n, • High level understanding of data architecture/governance in relation to Direct Marketing and knowledge of the Marketing Technology landscape\n, • Curiosity, scepticism and attention to detail regarding data, data quality, samples, bias, etc \n \n\n Resources available to me \n\n • A brilliant team of Leads, Analysts and associate Analysts.\n, • The full spectrum of Customer Data collected across our brands from transactions, digital interactions, surveys, demographics and more.\n, • Access to a wide range of tools and technologies, primarily Snowflake, Python and AWS/Azure Cloud platform.\n, • You'll benefit from a fully committed and supportive leadership team and the power of the newly formed Data & Analytics function, along with highly engaged stakeholders.\n, • Access to Data and Technology teams to progress outcomes, tools requirements and capabilities. \n \n\n What decisions can I make \n\n • How best to target and measure Food Digital Propositions CRM and Digital Marketing activity\n, • How to tell the story of the analysis, its impact and the business transformation required\n, • Influence CRM and Digital marketing transformation including MarTech strategy \n, • How to recruit, develop, train, and unify your team \n, • How to drive analytics excellence into the areas you work with\n, • How to remove blockers to ensure your team delivers on outcomes and continuously improves\n\n Essential Criteria \n\n • Experience leading and developing analytics teams, including coaching, performance management and building analytical capability.\n, • Strong experience in marketing, CRM or customer analytics, including campaign design, targeting, measurement, post-campaign analysis and insight generation using customer data.\n, • Advanced hands-on experience using Python, SQL and/or R to analyse large and complex datasets in a commercial environment.\n, • Experience applying statistical analysis, forecasting and modelling techniques to solve business problems and improve marketing performance.\n, • Experience leading analytical delivery in an agile environment, including prioritisation and management of multiple workstreams and stakeholders.\n, • Experience developing data visualisation and reporting solutions (for example Power BI dashboards) that enable stakeholders to interpret performance and make data-driven decisions. \n \n\n #DataAndAnalytics \n #Analytics \n #LI-CM1 \n "We are committed to being a truly inclusive retailer, so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new - whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: \n Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury’s every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. \n Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme, you will also be eligible for private healthcare too. \n Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. \n Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."

hackajob is collaborating with Arqiva to connect them with exceptional professionals for this role. \n Head of Pre-Sales Consultancy \n Overview \n Responsible for setting the technical vision and operational leadership for Arqiva’s pre-sales consultancy function. The role provides strategic direction across solution design, technology positioning and customer engagement, ensuring that our media, broadcast, and cloud architectures are clearly articulated and fully aligned with business objectives. \n Acts as a “player‑manager”, combining hands‑on solution expertise with the ability to lead, mentor and inspire a high‑performing team. Represents Arqiva’s technology strategy to customers, partners and industry forums through compelling communication and thought leadership. \n Location \n Commutable distance to London / Winchester \n What’s in it for you \n\n • Up to £93,000 \n, • 15% bonus \n, • Work Life Smarter – our commitment to a flexible and hybrid working culture \n, • Generous pension scheme starting at 6% rising to 10% \n, • A unique wellbeing programme that looks after the whole you \n, • Access to multiple learning platforms to support your individual development\n, • Active and diverse networks that build community, support wellbeing and advocate for change \n, • A comprehensive set of benefits including discounts on big brands, gymflex memberships and paid volunteering leave - see our full list of benefits here.\n\n Plus, you’ll play an integral role in protecting the commercial value of Arqiva’s sites - a critical part of how we deliver for our customers. \n \n What you’ll be working on \n • Define and lead the long‑term strategy for the pre‑sales consultancy function, ensuring that Arqiva’s technical capabilities across media, broadcast, cloud, and hybrid‑IP solutions are fully aligned with customer needs, market direction and organisational commercial priorities. \n • Take the lead design role on major strategic and complex bids, acting as the solution design authority, agreeing the architectural direction, assuring technical integrity, and shaping compelling customer solutions that reinforce Arqiva’s technology strategy and competitive differentiation. \n • Manage, coach, and develop a multidisciplinary team of pre‑sales consultants creating a high‑performance culture. \n • Establish the frameworks, standards and best‑practice methodologies that underpin solution development, ensuring proposals are robust, scalable, and commercially viable. \n • Act as a senior technical authority during customer engagements, influencing decision‑making and articulating Arqiva’s technology roadmap in clear and compelling terms. \n • Partner with Sales, Product, Engineering, and Delivery teams to shape go‑to‑market propositions and ensure alignment between customer needs and Arqiva’s capabilities. \n • Lead complex opportunity shaping, including high‑value tenders, transformation programmes, and strategic accounts. \n • Champion innovation by tracking emerging technologies across cloud, streaming, spectrum, resilient networks, and next‑generation broadcast architectures; drive adoption into the pre‑sales practice. \n • Oversee continuous improvement of tools, templates, modelling approaches and knowledge repositories to improve efficiency and quality of output. \n • Provide input into OPEX/CAPEX planning and own accountable elements of the department’s operating plan. \n • Model Arqiva’s cultural expectations, promoting collaboration, transparency, and continuous development within the team and across the broader organisation. \n • Build strong internal and external networks, fostering relationships with technology partners, vendors, and the wider industry. \n \n \n What we’re looking for \n • Technical Architecture – Ability to design end‑to‑end media, broadcast, and cloud solutions, spanning contribution, distribution, playout, IP, and hybrid infrastructure. \n • Cloud & Virtualisation – Deep experience with AWS, Azure, or GCP, including cloud‑native architecture design, migration patterns, and security best practice. \n • Media & Broadcast Technologies – Strong understanding of encoding, multiplexing, content delivery, video workflows, orchestration, and network resilience. \n • Diagnostic & Analytical Skills – Proficient with engineering, monitoring, and diagnostic tools; capable of resolving complex technical issues. \n • Communication & Presentation – Able to translate deeply technical concepts into clear narratives for senior customers and stakeholders; confident presenter. \n • Project & Programme Awareness – Ability to oversee multiple workstreams, manage priorities, and ensure structured delivery of pre‑sales activities. \n • Innovation & Continuous Improvement – Track record of introducing new methods, technologies, or practices that uplift capability and efficiency. \n • Budget & Commercial Awareness – Comfortable managing team budgets and contributing to commercially robust solution design. \n • Relationship Building – Skilled in developing strong partnerships across internal functions, customers, suppliers, and technology ecosystem partners. \n • Leadership & Management – Demonstrated strength in decision‑making, coaching, adaptability, and building high‑performing teams. \n \n Knowledge & Experience \n • Significant background in pre‑sales, solution architecture, or technical consultancy within media, broadcast, telecommunications, or cloud‑led environments. \n • Proven experience leading technical teams in a complex organisation. \n • Strong track record contributing to strategic bids, large‑scale transformation programmes, or major customer initiatives. \n • Broad understanding of commercial constructs, delivery models, and lifecycle management of technical solutions. \n • Experience of working directly with senior customers, presenting complex solutions and influencing technical and commercial decision‑making. \n \n Qualifications: Degree (or equivalent professional capability) in engineering, computer science, media technology, or a relevant field \n \n If you’re unsure whether you meet every requirement, don’t let that hold you back - your experience may be exactly what we’re looking for. \n \n Why Arqiva: \n We enable a switched-on world to flow. As the UK’s leader in TV and radio broadcast and the country’s top smart utilities platform, we are shaping the future of connectivity. \n Our infrastructure delivers media and data exactly where they’re needed - whether that’s bringing TV and radio to your home or sending smart meter data to your utility provider. Our technology works quietly behind the scenes, connecting millions every day. \n But it’s not just what we do, it’s how we do it. At Arqiva, you’ll find real connection: supportive teams, active colleague networks and plenty of ways to get involved and feel part of our community. We’ll give you the space and support to grow - whether that’s developing your skills, trying something new or taking on fresh challenges. And because there is more to life than work, our rewards and benefits are designed to support your wellbeing, your lifestyle and what matters most to you. \n Our commitment to Diversity & Inclusion \n At Arqiva, we’re committed to building a workplace where everyone feels valued, heard and empowered to succeed. We welcome applications from all backgrounds and experiences, and we work hard to remove barriers so every colleague can thrive. If you need any adjustments at any stage of the recruitment process, please reach out to talent@arqiva.com. \n If this sounds like the right next step for you, we’d love to hear from you! \n #LI-KM1

hackajob is collaborating with DXC Technology to connect them with exceptional professionals for this role. \n Job Description: \n Security Information Assurance Consultant \n 5 Days Onsite Central London \n At DXC Technology, delivering excellence for our customers and colleagues is more than just a motto, it’s something we strive towards constantly through our work. Every day we deliver mission critical services in a secure environment whilst promoting our people first agenda, a real sense of community and a healthy work-life balance. Our consistently positive customer feedback and continuous growth helps us cement our place as one of the world’s leading IT solutions enterprises, helping us deliver services and solutions in both challenging and exciting situations. \n We believe that hiring a diverse team is crucial to our success and our recruiting decisions are based on your skills and experience as an individual. We actively encourage consistent growth on our journey towards a culture of inclusion and recognise that the people we employ are vital to providing a great customer experience. As such, we have a variety of training, support, and tools available to aid in your continual personal and professional development. Our ongoing goal is to drive innovation and modernise operations across the board, which includes furthering the skills of our colleagues. At DXC, building a better you, builds a better us. \n At DXC, one of our platinum accounts has an opening for a Senior Information Assurance Consultant. The successful candidate will work within multiple teams and will be innovative and analytical with a good eye for detail. Your role will include implementing standards, policies, and procedures for continual service improvement. \n We are looking for an experienced Security Consultant who has all round skills in information security risk management. \n Role responsibilitiesq : \n • Working closely with Security Architects and the design teams, provide a bridge between the technical teams and the security risk owner from the business, helping translate technical security risks into a form understandable to non-technical business people. Advise risk owners as to the severity of the risks they are being presented with and potential mitigation strategies (and their impacts) to enable them to make informed risk management decisions \n • Monitor implementation and ongoing maintenance of agreed risk management actions \n • Create, maintain, and utilise risk assessment and related artefacts such as the risk register and security-specific documentation such as Security Operating Procedures \n • Assist the Account Security Lead with creating and maintaining security-related processes, policies and guidance \n • Proactively identifying areas for improvement in security across the account, both to improve security, and make good security easier \n \n What you will bring to the team: \n • Experience in a similar or related role with desirable additional qualifications to include CISM or CISSP / IISP or other professional body membership \n • Experience of working to HMG (e.g. NCSC guidance, DSIT Secure by Design, GovS 007) best practices \n • Desire to improve processes, looking for the root cause of a problem \n • Willingness to both share your knowledge and learn from others \n • A proactive approach towards looking for risks and problems \n • A strong team working ethic, with a “customer first” focus and a thirst for knowledge \n Desirable Skills and Technologies: \n • Deep knowledge and understanding of information and cyber security risk management \n • Experience in threat modelling utilising STRIDE or Attack Trees, NIST Cyber Security Framework \n • Experience or knowledge of various technology stacks including Cloud (AWS, MS Azure), M365, VMWare, Redhat Openshift or other container orchestration platforms, Windows and Linux operating systems \n • Knowledge of industry security guidance provided by the likes of OWASP and CIS \n • Awareness of security champions programmes \n What we will do for you: \n • Competitive compensation \n • Pension scheme \n • DXC Select – Our comprehensive benefits package (includes private health/medical insurance, childcare vouchers, gym membership and more) \n • Perks at Work (discounts on technology, groceries, travel and more) \n • DXC incentives (recognition tools, employee lunches, regular social events etc) \n At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. \n Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are looking for a technically-driven Lead Analyst to join our Growth Marketing Analytics team. This high-impact role scales the development, execution, and evolution of our global and regional growth narratives, deepening understanding of our growth drivers and providing deep-dives through the use of emerging technologies and AI. You will productionise the technical engine behind how we identify and act on opportunities, creating the automated foundations that enable our Marketing and Finance teams to make smarter investment decisions for our global marketing efforts. This role plays a pivotal part in driving better growth economics and further extending our growth architecture, while deploying these elements into the business and being an active participant in decision making. \n You have the business acumen to know what makes a data product meaningful for marketing stakeholders and can effectively partner with them, while your primary appetite is for scalable products and infrastructure. You will ensure data quality remains pristine across a broad horizontal scope, building a scalable, reflective view of past growth drivers while providing the technical scaffolding to fuel future strategy and ideation across the wider analytics team and its context. \n Your Mission \n Your mission is to turn complex marketing and financial data into a scalable, high-performance engine for insight generation. You will own the technical infrastructure for (regional) growth narratives, fostering the development of automated tools (such as Streamlit apps, AI/agentic automation and reporting tools) that guide marketing teams on where the highest value opportunities lie. You will be a key player in helping marketing teams accelerate their impact on our mission by ensuring they have the right data products at their fingertips. \n Key Responsibilities \n Analytics Ownership \n\n • \n Build and maintain the growth narratives and infrastructure, ensuring a robust technical base for all global and regional growth analysis. \n • \n Lead further productionising of our Marketing Financials process, automating insights and providing deep-dives to further understand drivers of global and regional growth performance. \n • \n Lead the development and deployment of advanced analytics consumption tools, including Lightdash reporting, Streamlit apps, and AI/agentic automation to provide deep-dives. \n • \n Create Payback models and financial modelling to ensure we set the correct guardrails for our investments relative to the unit economics of our customers. \n • \n Unlock frameworks for new growth areas, from how we can use promos to incentivise growth, how we think about investments across the marketing funnel and work with our Global and Regional leads to unlock these strategies. \n • \n Balance technical rigor with speed to deliver meaningful data products that translate into business impact. \n\n Leadership & Partnering \n\n • \n Successfully collaborate with stakeholders who provide input to and consume output from your data products, specifically Finance, Paid & Organic Marketing, and Regional teams. \n • \n Be a subject matter expert on technical infrastructure within the Marketing Analytics team, ensuring our systems can support future growth. \n • \n Contribute to the overall analytics strategy, ensuring that tribe data and analytics is discoverable and leveraged. \n • \n Act as a specialist within the team, identifying technical debt and building reusable data components that pave the way for a path toward Staff Analyst. \n\n Required Qualifications \n\n • \n 4+ years of hands-on experience in a marketing analytics, data engineering, or insights role, ideally at the start of your technical lead journey. \n • \n Strong proficiency of SQL and advanced Python is required. \n • \n Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker. \n • \n Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable. \n • \n Strong ability to collaborate with cross-functional stakeholders (Finance, Marketing) to translate business needs into technical requirements. \n • \n A focus on building systems and automated insights that drive measurable improvements in how the business consumes data. \n\n Preferred Qualifications \n\n • \n Experience building data products, such as Streamlit apps, custom internal tools, or AI-integrated workflows. \n • \n Familiarity with AI-native development workflows and tooling (e.g., Cursor, Claude, or GitHub Copilot) to accelerate the build of data products and automated agents. \n • \n Proven ability to automate context around data, creating technical systems that effectively communicate the drivers of growth to a wide stakeholder set. \n\n "We know that some people are less likely to apply for a role unless they meet every single requirement. If you’re excited about this role but your experience doesn’t align perfectly with every point, we’d still love to hear from you." \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. \n We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. \n Join us if you want to \n\n • \n Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n We are excited to be hiring a new Data Scientist into our team! Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. \n You will have access to the latest machine learning techniques combined with a rich data repository to deliver best in market risk models. \n This role will primarily focus on our US unsecured loans and credit cards business. \n Our team’s objectives \n\n • \n The data science team develops proprietary behavioural models combining state of the art techniques with a variety of data sources that inform market-facing underwriting and pricing decisions, scorecard development, and risk management. \n • \n Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions. \n • \n We self-serve with all deployment and monitoring, without a separate machine learning engineering team. \n • \n Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement. \n\n How you’ll impact those objectives \n\n • \n Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling is essential to being able to successfully contribute value. \n • \n Rigorously search for the best models that enhance underwriting quality. \n • \n Clearly communicate results to stakeholders through verbal and written communication. \n • \n Share ideas with the wider team, learn from and contribute to the body of knowledge. \n • \n Key Skills \n • \n Experience using Python and SQL. \n • \n Strong proficiency with data manipulation including packages like NumPy, Pandas. \n • \n Knowledge of machine learning techniques and their respective pros and cons. \n • \n Confident communicator and contributes effectively within a team environment. \n • \n Self driven and willing to lead on projects / new initiatives. \n\n Nice to have \n\n • \n Prior experience of credit risk for consumer lending or credit cards, especially for the US market. \n • \n Interest in machine learning engineering. \n • \n Strong SQL and interest in data engineering. \n\n The interview process \n\n • \n Initial call with TA \n • \n Take home task \n • \n Task debrief and case study interview \n • \n Final interviews with leadership team \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Virgin Media to connect them with exceptional professionals for this role. \n Lead Data Scientist – Network Investment Planning & Optimisation \n Location: London (Hybrid) Reports To: Head of Data Science \n About Virgin Media O2 \n Virgin Media O2 (VMO2) is one of the UK’s largest telecommunications providers, connecting over 46 million customers across mobile, broadband, and TV. We are delivering one of the largest investments in UK digital infrastructure in a generation, allocating hundreds of millions of pounds annually to build the networks of the future—including ultrafast fibre and next-generation 5G. \n To power this massive capital investment, we are leveraging cutting-edge AI, machine learning, and mathematical optimisation to ensure every pound is invested where it can deliver the maximum benefit. \n About the Role \n We are looking for a Lead Data Scientist to join our Network Investment team. In this role, you will be the technical lead driving the design, development, and deployment of optimisation and predictive planning tools that shape our capital investment strategy. \n You will lead a high-performing team of data scientists to build intelligent, automated models that simulate rollout scenarios, and forecast and optimise their impact on key business measures. This is a unique opportunity to act as both a hands-on technical expert and a mentor to a talented team, working on high-impact problems that directly shape the physical connectivity of the UK. \n Key Responsibilities \n · Lead & Mentor: Act as the technical lead for a team of data scientists. Provide mentorship, steer project architectures, and champion high standards for clean, reproducible, and production-grade code. \n · Modelling, Forecasting and Optimisation: Design and implement models to simulate our networks and forecast how our customers use them and the service quality they will receive. Leverage these to solve crucial business planning problems. \n · End-to-End Delivery: Own the lifecycle of data science projects from discovery to deployment. Work as part of a cross functional team leveraging Python, dbt, and GCP (Vertex AI, BigQuery) to build robust pipelines. \n · Stakeholder Collaboration: Partner closely with Network stakeholder to translate complex commercial constraints into data science problems and the solutions to those problems into tangible impact. \n · Storytelling & Impact: Distil highly technical modelling outcomes into clear, visual, and actionable insights for senior leaders and executives making multi-million-pound investment decisions. \n \n What We Are Looking For (Requirements) \n The Must-Haves: \n · Educational Background: Master’s degree or PhD in a highly quantitative field or equivalent commercial experience. \n · Technical Leadership: Experience leading or mentoring data scientists, setting technical direction, and managing the end-to-end delivery of analytical products. \n · Proven Problem-Solving Record: Proven track record of using mathematical, ML and software techniques to solve industrial problems and deliver business impact. \n · Modern Tech Stack: Advanced proficiency in Python (pandas, NumPy, scikit-learn) and SQL. \n · Communication: Exceptional ability to explain complex technical concepts, algorithmic trade-offs, and probabilistic outputs to non-technical business partners. \n \n Nice-to-Haves: \n · Mathematical Optimisation: Background in Operations Research, with hands-on experience using optimisation solvers (e.g., Gurobi, Google OR-Tools) to solve real world problems. \n · Domain Knowledge: Prior experience in the Telecommunications, Utilities, Logistics, or Infrastructure sectors. \n · Cloud & MLOps: Experience developing and deploying production-grade models in cloud environments.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects. \n Your work will have a direct impact on Wise’s mission and millions of our customers. \n About the Role: \n You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform. \n The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform: \n We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain. \n What you’ll own \n\n • \n Python microservices that run quantitative models in production \n • \n Monitoring, alerting, and reliability for real-time pricing and risk systems \n • \n Shared quant libraries used across multiple services \n • \n CI/CD pipelines, deployment and operational excellence \n • \n Incident response and root cause analysis for production issues \n\n Where you’ll grow \n\n • \n Real-time curve construction (yield curves, FX forwards, vol surfaces) \n • \n Pricing models for new instruments and products \n • \n Trading strategy development and optimisation \n • \n Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) \n • \n Backtesting frameworks and model validation \n • \n Customer behaviour modelling, pricing strategy and product launch support \n • \n Collaborating with product teams to translate quantitative insights into customer-facing decisions \n\n Qualifications \n What we’re looking for \n\n • \n 4+ years building and maintaining production Python systems \n • \n Strong experience with microservices, databases, and production infrastructure \n • \n Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) \n • \n Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness \n • \n Experience with testing, monitoring, and debugging complex systems under load \n • \n A product mindset - you think about who uses your systems and why \n • \n Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers \n\n It’s a bonus if you are familiar with \n\n • \n FX or financial markets experience \n • \n Term structure modelling, stochastic calculus or Monte Carlo methods \n • \n Interest rate curve bootstrapping \n • \n Algorithmic execution experience \n • \n Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.) \n\n We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. \n Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. \n And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic \n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Tesco to connect them with exceptional professionals for this role. \n About the role \n The Analytics Capabilities team is responsible for developing and managing data products that drive intelligent experiences, decisions and actions across the Tesco ecosystem. We work in close partnership with business and technology teams across Stores, Finance, People, Customer, Commercial to enable the seamless build, consumption, integration and expansion of Data & AI capabilities. \n \n This is a fantastic opportunity to join our team and play a leading role in defining, building and launching new type of data products that have a real impact on Tesco business & colleagues. \n \n This is a hybrid role with the expectation of being based at our London and Welwyn Garden City offices 3 days a week. \n What is in it for you \n We’re all about the little helps. That’s why we make sure our Tesco colleague benefits package takes care of you – both in and out of work. Click Here to find out more! \n \n\n • Annual bonus scheme of up to 20% of base salary \n, • Holiday starting at 25 days plus a personal day (plus Bank holidays) \n, • Private medical insurance \n, • 26 weeks maternity and adoption leave (after 1 years’ service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave \n, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing \n\n You will be responsible for \n As an Analytics Manager, you will lead a team of analysts to design, build and optimise high-quality, scalable and secure data products that empower data driven decision making across Tesco. You will combine technical expertise in analytics, engineering and modelling with people leadership, ensuring our data environments, tools and outputs are robust, reliable and aligned with business needs. You will collaborate closely with data science, engineering, product and business teams to deliver impactful data solutions and foster a culture of innovation and best practice. \n \n You will be responsible for: \n \n • Team Leadership: Build, mentor and develop a high-performing team of analysts, fostering a culture of growth, inclusion and technical excellence with a strong emphasis on data and advanced analytics. \n \n • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. \n \n • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business needs into robust, data driven solutions. \n \n • Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. \n \n • Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. \n \n • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. \n \n • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical use of data. \n \n • Continuous Improvement: Drive continuous improvement (speed of delivery, product quality, reduce number of defects and time to fix) and facilitate innovation in business practices and ways of working. \n \n • Stakeholder Engagement: Communicate complex data and analytics concepts effectively to technical and non-technical audiences, enabling informed decision making. \n \n • Talent Development: Support recruitment, onboarding, and ongoing development of talent within the team. Identify skill gaps and lead targeted upskilling initiatives to enable the team to adopt software engineering best practices, AI capabilities, advanced analytics and automation practices. \n \n You will need \n • Experience developing robust data products that are actionable and scalable. \n • Expertise of using Spark, Dremio, Teradata or other SQL technologies. \n • Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau. \n • Experience with Python, GitHub, data orchestration tools (Oozie, Airflow) for data wrangling, building data pipelines and building analytical/web interfaces. \n • Good understanding of the full data lifecycle and understanding of typical enterprise concerns around data platforms (Governance, Quality, Security). \n • Experience creating outputs for both technical and non-technical audiences. \n • Ability to manipulate, analyse and synthesise data using different sources to create customer led, data driven products and high impact presentations. \n About us \n Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is ‘Serving our customers, communities and planet a little better every day’. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. \n \n We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We’re proud to have been accredited Disability Confident Leader and we’re committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. \n \n We’re a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

hackajob is collaborating with TradingHub to connect them with exceptional professionals for this role. \n Compensation: Competitive (Financial Services) \n About TradingHub \n Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. \n With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk. \n The Role \n We are looking for a Head of Engineering to lead our Engineering Core department, responsible for the platforms that power TradingHub’s market-leading trade surveillance solutions. The function encompasses three principal teams: Infrastructure, Calculation and Web, covering our cloud platform, big-data processing framework and user-facing applications. \n The successful candidate will provide strategic and technical leadership across these teams, driving engineering excellence, platform reliability and innovation while building a high-performing organisation aligned to TradingHub’s business objectives. \n Responsibilities: \n\n • \n Define and evolve the core services and platform architecture, ensuring scalability, resilience, and a cloud-native, future-proof design \n • \n Set architectural standards and drive platform consistency to reduce complexity, duplication, and operational risk \n • \n Champion an AI-first approach, identifying and embedding agentic AI workflows to enhance engineering productivity and capability \n • \n Translate strategic business objectives into scalable, reliable engineering outcomes, owning end-to-end delivery against critical timelines \n • \n Partner cross-functionally with Product, Data, and Infrastructure teams to align platform direction, data capabilities and system reliability \n • \n Own the reliability and performance of core systems, including uptime, latency, SLOs/SLAs and continuous improvement through incident management \n • \n Ensure security, data protection, and regulatory compliance, while leading and developing a high-performing, accountable engineering organisation \n\n Requirements \n\n • \n Significant experience of commercial software delivery, preferably within financial technology or 'big tech' \n • \n Proven track record of owning and successfully delivering substantial transformation projects on time and with precision \n • \n Proven success in balancing competing short/medium and strategic priorities to ensure key strategic deliverables are met \n • \n Confident leading high-performing software development teams, especially through changes to working practices \n • \n AWS (or other public cloud provider) experience preferable \n • \n Experience of AI-first SDLC working practices \n\n Benefits \n Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success. \n Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self. \n Employee Benefits: \n\n • \n Annual discretionary performance bonus (permanent employees only) \n • \n Hybrid working policy \n • \n Office lunches twice a week \n • \n Private medical insurance + dental cover \n • \n Extended parental leave (up to 6 months of fully paid maternity leave) \n • \n 25 days annual leave + bank holidays \n • \n Enhanced company pension plan \n • \n 5 days study leave towards professional qualifications \n • \n Salary sacrifice schemes \n • \n Death in service coverage \n\n Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don't let our specification hold you back. Get in touch! \n TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications. \n We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.