Data processing jobs in United Kingdom

As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members an

As a Senior Palantir Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and t

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 passionate and enthusiastic Talent Development Specialist to join us in the People Team in London! If you are someone who thrives on connecting with people and fostering their growth, this could be your next professional endeavor. \n We are looking for an individual to significantly contribute to our onboarding experience. This role primarily involves serving as a key facilitator for our Company Onboarding, ensuring an inspiring, engaging, and impactful start to every Newbie's journey at Wise. This is a 12-month fixed-term contract. \n As a Talent Development Specialist, you will play a pivotal role in fostering a culture of continuous learning and professional growth within the organisation. In addition to our Company Onboarding, you will facilitate other programs, design and execute targeted learning strategies, and drive engagement in global learning initiatives. Collaborating with regional teams, you will ensure seamless training delivery and maintain a comprehensive global learning calendar. \n Additionally, you will conduct learning needs analysis and provide data-driven insights for stakeholders. You will serve as a local point of contact for core products, ensuring data integrity and regular content updates. Your role will require strong facilitation, project management, data interpretation and stakeholder management skills, with an emphasis on strategic thinking and adaptability. You should be proactive, detail-oriented and collaborative, with a strong ability to navigate change and apply data-driven insights for impactful learning solutions. \n Responsibilities \n Facilitation \n\n • \n Main facilitator of Company Onboarding \n • \n Delivers offsites in location where suitable \n\n Learning Partnering \n\n • \n Responsible for development and execution of learning strategy at the squad level \n • \n Conducts Learning Needs Analysis \n • \n Provide data and insights during MBRs and QBRs for relevant stakeholders on all learning activities of supported group(s) \n • \n Work with regional teams to ensure training delivery in supported locations \n • \n Maintain global learning calendar for supported assignment(s) \n • \n Drive engagement for global learning initiatives within supported assignment(s). \n\n Coaching and Mentoring \n\n • \n Support coaching and mentoring requests for region \n • \n Coach and mentor new team members \n\n Product Ownership \n\n • \n Serve as local POC for core product \n • \n Ensure proper data hygiene for products at regional level \n • \n Ensure regular cadence of content updates and program enhancements as needed \n\n Core skills \n\n • \n Strong facilitation skills. \n • \n Strong proficiency in project management and design thinking. \n • \n Consultative approach to problem-solving, applying data-driven insights to create tailored solutions. \n • \n Confidence in interpreting data and producing data-led, visually compelling presentations. \n • \n Organised, detail-focused, and able to work under pressure while maintaining accuracy. \n • \n Adept at stakeholder management, communicating effectively with diverse teams to encourage collaboration. \n\n Key attributes \n\n • \n Aware of important developments within the business and industry trends relating to people and organisational development. \n • \n Strategic mindset in developing talent initiatives, understanding the bigger picture and how individual actions fit into the broader suite of talent development services. \n • \n Enthusiasm for collecting, processing, and applying data to streamline workflows, measure project ROI and drive successful team projects. \n • \n Comfortable navigating uncertainty and rapid change; adaptable to evolving business needs. \n • \n Proactive and self-starting, anticipating potential challenges or opportunities and proposing solutions. \n • \n Willingness to contribute beyond one’s own role, collaborating with colleagues to achieve collective objectives. \n • \n Excellent communication skills and ability to coordinate large-scale initiatives. \n • \n Meticulous attention to detail and a passion for high-quality, visually appealing deliverables. \n\n Additional Information \n £44,000-£58,000 \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 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 Joining our Customer Data Science team, you’ll work with world class and passionate people to create reusable science modules, ensuring they are productionised, robust and available to the business. You’ll contribute to the research and implementation of new approaches to address complex problems and explore changes to process and tooling to enable research at scale. \n What we expect from you \n\n • Experience designing and delivering production-grade analytical Python solutions\n, • Experience working with relational databases, and SQL-like operations\n, • Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial\n, • Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial\n, • Proven experience implementing CI/CD and DevOps practices, with the ability to improve deployment reliability, testing standards, and release processes\n\n Responsibilities \n\n • Design, build and own standalone, reusable python packages that surface novel data science solutions, and are fundamental to best-in-class, global products and services\n, • Build processes and tools to support the research of global science methods, including visual dashboards to showcase their approaches\n, • Translate stakeholder requirements into robust, production-ready solutions\n, • Collaborate cross-functionally and mentor junior team members to raise engineering capability and impact\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 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 an experienced Analytics Director to lead our Regional Platform Squad. \n Regional Platform builds the platforms and frameworks that empower Wise engineers to seamlessly integrate Wise with payment systems across the globe. You’ll play a key role in expanding our reach and improving the experience for millions of customers worldwide! \n You’ll report to the Analytics Director for the Regional Expansion tribe, and partner with the Product and Engineering leads in the Regional Platform Squad. Together, you will form a cross-functional group of key decision makers who own the challenge of making the process of Regional Expansion as seamless as a config change. \n This role involves a 50/50 split between Squad leadership and analytics team scaling. Squad leadership involves partnering with the Engineering, Product and Design decision making group to drive the vision and roadmap for core services which power the Wise money movement engine (speed, payout, linking etc). In parallel, this role will own the challenge of scaling the team from 3 analysts (likely at least doubling in next 12m) to meet the growing demands of the 8+ teams (c.50 engineers) who need an analytics partner to drive the roadmap. \n If you’ve previously led or helped to build analytics teams in fast-paced, scaling, global companies - we’d love to hear from you. \n This is an AL3 role. For more information on our Analytics Career Map and levelling structure, click here. \n What you'll do \n\n • \n Partner with cross-functional (Product, Engineering etc.) leads to define the strategy for the Regional Platform squad. Identify opportunities for impact and bring them to life; review team plans and progress, giving them effective feedback. \n • \n Establish clear goals, define measurable KPIs, and develop compelling narratives to communicate progress and proactively identify areas requiring action, both within and beyond the Regional Platform squad. This includes synthesizing data from various teams to provide a comprehensive view. \n • \n Lead and develop a team of analysts. Support analyst professional development via performance feedback & coaching; hire and plan capacity; ensure analyst time is spent to maximise impact; increase scalability via automation. \n • \n Take ownership of complex cross-team projects to help unblock critical product decisions, this could range from: \n \n • \n Helping the team build granular data infrastructure sound payment processing to identify opportunities to deliver a more instant service to customers \n • \n Establishing Squad KPI's to focus the teams investment on the most impactful projects to drive expansion speed \n • \n Analysing SWIFT network data to optimise our offering in terms of price, speed and coverage \n \n\n Additional Information \n Base salary of £135,000 - £190,000 \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 Job Description \n About the role \n We are looking for a passionate Senior Data Engineer to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n Lead the development of a reliable, real-time view of our liquidity for multiple products. \n Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \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: £105k - £135k + 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 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 This role is a unique opportunity to have a massive impact on Wise's mission, and build the engine that powers the revolution, Money without Borders. \n Your mission: \n Your mission is to scale the backend financial engines at Wise during a pivotal growth phase following our recent US listing on NASDAQ. You will lead critical work within our Accounting Infrastructure team - which is responsible for the financial truth at Wise.. \n Your impact: \n Your mandate is to maintain the core General Ledger databases, backend processing microservices, and financial infrastructure that act as the source of truth for Wise. You will ensure the availability, technical integrity, and control environment of our ledger infrastructure. This role focuses strictly on the backend ledger systems and internal financial services. \n\n • \n The Scale: You will manage ledger infrastructure that ingests over 1bn+ journal entries per month and oversee the process that turns these into financial reports. \n • \n System Boundaries: You own the technical health and data integrity controls of the core General Ledger databases and company ERP platforms. \n • \n Downstream Trust: The controls you build directly impact the data accuracy of downstream reporting lakes, tax systems, and corporate consolidation tools. \n\n Example of questions that you will answer in your role are - \n\n • \n How do you design reliable tracking systems and workflows so we never lose track of money or make unapproved/unanticipated changes to our financial data? \n • \n How do you build secure software tools and APIs so that our team members can post financial records safely with minimal risk of errors? \n • \n How do you structure our databases so they can automatically generate separate, correct financial reports for different regional accounting standards at the same time? \n\n You will define and execute the product strategy to achieve real-time reconciliation and assurance at global scale, providing functional finance teams with systems they need to operate effectively, compliantly, and efficiently in 50+ countries. \n You are joining the Finance Product team at a pivotal, hyper-growth stage as Wise has recently listed in the US. The Finance team is strategically expanding its footprint to raise the bar on global regulatory maturity and provide a robust financial foundation for Wise’s sustained, rapid growth. This expansion is directly driven by the need to proactively mature our global financial controls and infrastructure to meet the highest standards required of a US-listed, global financial technology company. \n Qualifications \n What we’re looking for: \n\n • \n Product Management Excellence \n \n • \n 5-6 years of product building experience, as a product manager in a hands on role \n • \n A willingness and capability to dive into the technical architecture, engaging directly with engineers to influence ledger design, data models, and event-sourcing patterns. \n • \n An analytical mind to trace data lineage across interconnected microservices and design systemic solutions. \n • \n Have defined and moved KPIs with features shipped \n • \n Have built roadmaps for teams finding a path from uncertainty/chaos to clarity \n \n • \n Problem Solving \n \n • \n Strong grasp of mathematics, analytically-minded, can clearly frame problems, articulate hypotheses and solutions, measure them and has used the tools to be able to do this without an analyst \n • \n Showcases system-level thinking, a proven ability to look beyond the scope of a single product to design interconnected systems \n \n\n Nice-to-haves: \n\n • \n Finance, Payments or Treasury experience particularly in Ledgers, Controls or Accounting \n • \n Domain Understanding \n \n • \n Understanding of finance systems in either an engineering, data or product role \n • \n Understanding of operating in Finance organisations including financial reporting, commercials, and risk and control \n \n • \n Experience with SOx Controls or Audits \n • \n Experience of third party finance systems \n\n Additional Information \n\n • \n Base salary: £93-148K (based on experience & interview outcomes) \n • \n Restricted Stock Units (RSUs) & a variety of other benefits: 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 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 are looking for a passionate Senior Data Engineer II to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team. \n In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement. \n You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently. \n How do we work? \n At Wise, we work in autonomous, cross-functional teams. As an Engineering Lead, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission. \n What will you be working on? \n Elevated Customer Experience: \n Lead the development of a reliable, real-time view of our liquidity for multiple products. \n Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model. \n Financial Strength and Resilience: \n Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains. \n Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow. \n Controlled and Intelligent Scalability: \n Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively. \n Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed. \n Automated Investment and Risk Management Tooling: \n Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters. \n Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances. \n What do you need? \n We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience. \n Qualifications: \n • You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment. \n • You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges. \n • You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction. \n • You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work. \n • You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals. \n • You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards. \n • You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences. \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: £111k - £145k + 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products. You will work at the intersection of technology and finance, delivering high-impact systems that enable critical risk management and profit & loss analysis for our trading operations. \n Key Responsibilities \n As a Senior Python Developer on our team, you will build and maintain robust software solutions for rates trading activities. You will collaborate closely with quantitative analysts, traders, risk managers, to integrate systems across front office , middle and back office processing. Your work will directly support trading operations across multiple Rates Swap Derivative products and Options products . \n You will be responsible for developing scalable, performant code that handles large volumes of market data and complex financial calculations. This includes implementing risk metrics, PnL attribution frameworks, and data pipelines that connect trading systems with downstream consumers. You will participate in architectural decisions, code reviews, and technical design sessions, contributing your expertise to shape the evolution of this automated platform in Rates. \n Required Qualifications \n\n • Minimum 5 years of hands-on Python development experience\n, • Strong preference for candidates with financial services background\n, • Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices\n, • Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases\n, • Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders\n, • Proven ability to gather requirements from business users and collaborate across multiple teams and functions\n, • Capability to translate business needs into technical solutions and explain technical constraints in business terms\n, • Willing to understand and work on legacy applications when required \n\n Preferred Qualifications \n\n • Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena\n, • Knowledge of rates products including Swaps, Securities, Options, and Repo\n, • Familiarity with risk methodologies and PnL calculation frameworks\n, • Experience with distributed systems and real-time data processing\n, • Proficiency with relational and NoSQL databases\n, • Knowledge of modern development practices including CI/CD pipelines and containerization\n, • Exposure to quantitative finance concepts and market risk measures\n, • Understanding of regulatory reporting requirements in financial services\n, • \n Usage of Agentic AI tools for Software Development , Testing , Analysis \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 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 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 8th Light to connect them with exceptional professionals for this role. \n Lead Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 7+ years. You can be the go-to leader for any software development engagement. You have a broad and deep range of expertise that allows you to make an immediate impact on projects. In your previous experience, you have: \n\n • Successfully led high-stakes consulting engagements from discovery to production \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Written production-quality code using a variety of languages and frameworks, including but not limited to: Python, Java, JavaScript, TypeScript, React, Ruby, Scala, R, SQL, and Go\n, • Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation\n, • Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) \n, • Used context-appropriate automated testing to inform software design choices and catch bugs\n, • Debugged and refactored pre-existing code to incrementally improve it\n, • Collaborated with teams using Git, MacOS/Linux, and CI/CD\n, • Remedied architecture-level concerns such as scalability, security, reliability, and performance\n, • Brought together people from different functions and perspectives in forums that encourage idea sharing, collaboration, and problem solving\n, • Made thoughtful recommendations and set direction in the face of ambiguity\n, • Mentored and shared knowledge with colleagues\n, • Actively sought out and effectively given feedback\n, • Communicated empathically with stakeholders and colleagues\n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n\n What You’ll Do At 8th Light \n As a lead technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks over the course of your career with us. You’ll lead more complicated projects, leading teams to do so. You’ll work with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know. You’ll be responsible for: \n\n • Making immediate contributions to projects, rapidly building trust with clients\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Leading architecture and software design discussions\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Generating new potential solutions to challenges (technical and non-technical) in partnership with team members and clients\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Ensuring your team has a healthy, prioritized, estimated backlog\n, • Managing high-level project roadmaps as the team lead for large engagements\n, • Maintaining relationships with client technical leaders\n, • Regular syncs with the client to provide status updates, and for identifying and evaluating risks and presenting potential solutions\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • MLOps: including tools like LangChain for application development and managing the ML lifecycle\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • DevSecOps & DevOps\n, • Infrastructure as Code\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Lead Engineer position within London is: £76,023-95,029 GBP. \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. \n In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with engineering and testing teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. \n Job Responsibilities \n\n • Development of advanced machine learning models to address complex operational challenges.\n, • Evaluating and communicating the impact brought by proposed solutions. \n, • Architect and oversee the deployment of generative AI applications and agents to automate and enhance business processes.\n, • Collaborate with senior stakeholders to understand strategic business needs and translate them into comprehensive technical solutions.\n, • Analyze large datasets to extract actionable insights and support data-driven decision-making at a strategic level.\n, • Ensure the scalability, reliability, and security of AI/ML solutions in a production environment, with a focus on long-term sustainability.\n, • Stay informed about the latest advancements in AI/ML technologies and drive their integration into our operations.\n, • Mentor and guide junior team members, fostering a culture of innovation and continuous learning.\n\n Required Qualifications, Capabilities, And Skills \n\n • Advanced degree in a STEM field (Degree in Computer Science or Software Engineering), with experience in AI/ML.\n, • Proven track record of AI/ML model development and deployment of AI/ML applications in a production environment, with expertise in deploying models on AWS platforms.\n, • Deep familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.\n, • Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn.\n, • Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing.\n, • Extensive experience with generative AI models, mainly as cloud service APIs (e.g., OpenAI).\n, • Experience with integrating user feedback to establish self-improving AI applications.\n, • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.\n, • Familiarity with cloud platforms (AWS).\n, • Excellent problem-solving skills and the ability to work independently and collaboratively.\n, • Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.\n\n Preferred Qualifications, Capabilities, And Skills \n\n • A Ph.D. is a plus but not required.\n, • Experience in software engineering practices.\n, • Experience in developing AI solutions using agentic frameworks.\n, • Experience fine-tuning LLMs with advanced techniques.\n, • Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering.\n, • Demonstrated ability to design and implement AI application architecture.\n, • Significant experience in bringing AI applications to production with a focus on strategic impact and innovation.\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. 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 HSBC to connect them with exceptional professionals for this role. \n If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential - whether you want a career that could take you to the top, or an exciting new direction, we offer opportunities, support and rewards that will take you further. \n We’re one of the largest banking and financial services organisations in the world, with a network that covers more than 50 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. \n We’re currently seeking a DevOps Specialist, based in London. \n You will be responsible for supporting Fixed Income Cash trading businesses’ use of Bloomberg and associated trading workflows within the FICC space in MSS IT. The successful candidate will be a senior individual contributor and will act as a hands-on DevOps and application Subject Matter Expert (SME) for Order Management and Primary Trading Systems, specifically Bloomberg TOMS. \n A core expectation of this role is to leverage modern engineering practices and AI tooling (including GitHub Copilot and approved/available GenAI tooling) to materially improve productivity and accelerate delivery of enhancements and internal process improvements (automation, diagnostics, documentation, testing and operational readiness), in line with applicable security and data handling requirements. \n In this role, you will: \n\n • Act as the application SME for Order Management and Primary Trading Systems, specifically Bloomberg TOMS, providing functional and technical support to Front Office users and partner teams\n, • Provide L2/L3 supports, development, maintenance and production stability of Front Office trading applications and workflows, including Bloomberg TOMS\n, • Provide SME support across the trade lifecycle for Fixed Income products, particularly cash bonds, futures and IRS, including investigation of processing and data issues\n, • Own and continuously improve CI/CD, DevOps practices and tooling to increase delivery throughput and operational resilience\n, • Participate in platform improvement initiatives (e.g., performance, monitoring/alerting, production stability, automation and operational readiness)\n, • Contribute to requirements gathering and delivery planning to meet business needs with high quality and on-time delivery\n, • Consult closely with business stakeholders to understand objectives and requirements, developing user stories in association with Product Owners, Business Analysts and technical leads\n, • Leverage GitHub Copilot and approved GenAI tooling to accelerate engineering and support outcomes (e.g., automation, code quality improvements, test generation, incident analysis, runbook and knowledge-base creation), ensuring appropriate controls for confidentiality and data usage\n\n To be successful in this role you should have the following skills: \n\n • Experience in banking/financial services technology, with a strong focus on Front Office trading systems and platforms\n, • Must have knowledge of Trade Life Cycle, in particular for Fixed Income Products. Specifically in-depth understanding of price contributions, Profit & Loss attributes and Profit & Loss calculations for intra-day and end of day valuations\n, • IT experience working with Primary Trading applications, specifically Bloomberg TOMS\n, • Highly experienced working within Agile projects and DevOps methodologies\n, • Practical experience using AI-assisted engineering tools (including GitHub Copilot and approved/available GenAI tooling) to improve productivity and delivery outcomes\n\n \n Opening up a world of opportunity. \n

hackajob is collaborating with Heathrow to connect them with exceptional professionals for this role. \n Description \n This role supports the day-to-day operation of the Office of the Data Protection Officer (DPO), ensuring the effective management of privacy-related activities across the organisation. The position plays a key role in overseeing privacy complaints, managing the end-to-end process for rights requests and incident management, and providing advice and guidance on a wide range of privacy matters. \n Working with both internal and external stakeholders, you will be responsible for driving process improvements, developing reports and dashboards, supporting compliance assessments and privacy-by-design initiatives, and enhancing the DPO Office’s online presence. The role also contributes to the organisation’s digital transformation journey, helping to evolve and strengthen privacy services, processes, and stakeholder engagement. \n Responsibilities \n\n • Coordinate and manage core DPO activities, including compliance reviews, reporting, stakeholder communications, and the scheduling of regular privacy-related activities.\n, • Support the complaints process, ensuring timely investigation, stakeholder engagement, record-keeping, reporting, dashboard creation, and professional resolution within agreed timescales.\n, • Operate, maintain, and continuously improve the rights requests process, ensuring compliance with statutory deadlines, monitoring performance, and engaging effectively with internal and external stakeholders.\n, • Provide privacy advice and guidance to stakeholders, supporting privacy-by-design principles, data protection assessments, compliance activities, and the timely completion of privacy-related requirements.\n, • Maintain and enhance the Office of the DPO's digital presence and knowledge resources, including the management of online content, self-service tools, training materials, and the team inbox.\n, • Support privacy incident and third-party risk management, including investigations, fact-finding, reporting, mitigation activities, lessons learned, and oversight of personal data processing by suppliers and partners.\n, • Produce and analyse privacy management information, including KPIs, dashboards, reports, and trend analyses, identifying opportunities for process improvement and enhancing the effectiveness of the privacy function.\n\n Qualifications \n\n • Knowledge of data protection legislation, including UK GDPR, PECR, the Data (Use and Access) Act (DUAA), and related privacy regulations.\n, • Experience of working in a fast-paced environment, managing competing priorities, ad hoc requests, and fixed deadlines.\n, • Strong stakeholder management skills, with the ability to build and maintain positive relationships across a range of internal and external stakeholders.\n, • Proven ability to work collaboratively as part of a team while managing responsibilities independently. \n\n Ideally, you'll also have: \n\n • Degree-level qualification, apprenticeship, or equivalent relevant work experience.\n, • Professional privacy qualifications such as CIPP/E, CIPM, or equivalent certifications.\n, • Experience of using Microsoft 365 applications, including SharePoint, Excel, and Office 365 eDiscovery, as well as Adobe Acrobat Pro.\n, • Experience of web content management or webpage design.\n, • Experience of service design, implementation, monitoring, and continuous improvement. \n\n #LI-Hybrid

hackajob is collaborating with 8th Light to connect them with exceptional professionals for this role. \n Principal Engineer \n Location: Waterloo, London, England, UK | Hybrid (1 day per week in office) \n Who We Are \n At 8th Light, we bring life to the best ideas. \n Founded in 2006 and headquartered in Chicago, we are a technology solutions consultancy that partners with organisations from early-stage startups to the world's largest companies. We take on hard software challenges and turn them into durable results. We build agentic products, the platforms they run on, and the engineering and design at every layer. \n Our commitment to quality means we deliver solutions we’re truly proud of, while our curiosity sparks innovation and breakthrough thinking. 8th Lights thrive in an environment that champions continuous education, fueling our growth through mentorship and hands-on work. We foster an open, collaborative culture grounded in honesty that builds trust, and believe true success is measured by the outcomes we create for our clients. \n If this kind of work and our kind of people energises you, you’ve found the right place. \n Who You Are \n You’ve shown long-term repeated success on a variety of projects, typically over the course of 10+ years. You are a trusted expert and leader, often called upon to guide ambiguous initiatives and architect scalable solutions. You bring a blend of deep consulting acumen, technical expertise, and product thinking that drives measurable and impactful outcomes. In your previous experience, you have: \n\n • Built and shipped production-grade platforms: the reusable foundations, tools, infrastructure, and workflows that help other teams shift faster and more reliably\n, • Taken AI and agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability\n, • Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries \n, • Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients you’ve served \n, • Led the development and delivery of production-grade software using a variety of languages and frameworks, including but not limited to: Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL\n, • Actively experimented with AI development tools and translated that experimentation into faster, higher-quality delivery for your teams\n, • A track record of understanding, assessing, and embracing new tooling and trends within the software industry\n, • Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents\n, • Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs\n, • Led and delivered solutions to architecture-level problems including scalability, security, reliability, performance, maintainability, and observability\n, • Facilitated alignment across technical and non-technical stakeholders to move initiatives forward through ambiguity and complexity\n, • Provided mentorship and team support at scale, while sharing knowledge and improving team practices \n, • Collaboratively led stakeholders to balance technical considerations with product and user needs\n, • Actively sought out and effectively given feedback\n\n What You’ll Do At 8th Light \n As a go-to technologist and strategist within 8th Light, you’ll work with a variety of clients, typically one to two in a year, while continuing to deepen your and our collective domain expertise over the course of your career with us. You’ll be responsible for: \n\n • Rapidly building trust with clients, demonstrating technical expertise and understanding of their domain and objectives \n, • Driving platform engineering work at the client level, connecting long-term technical vision to what ships \n, • Leading platform strategy and delivery across diverse platform types, connecting long-term vision to what ships\n, • Working pragmatically to balance technology choices while delivering high-quality work within deadlines\n, • Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes\n, • Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring\n, • Driving innovation by proactively surfacing new technical approaches and product solutions\n, • Leading or initiating formal feedback conversations with teams and clients via retrospectives\n, • Clearly articulating and documenting outcomes and driving forward action items\n, • Contributing to the health of your team and 8th Light’s culture by modeling our Values\n, • Designing and managing high-level technical roadmaps for large engagements\n, • Building your network and maintaining relationships with clients and other industry leaders within your domain\n, • Coaching client engineering teams, transferring knowledge and leveling up practices\n, • Influencing client CTOs and executive decisions. Planning and execute technical work that involves stakeholders outside of project boundaries such as across a client's technical organization\n, • Partner with account teams on planning, opportunity identification, stakeholder relationships, and pre-sales scope shaping\n, • Facilitating retrospectives, strategy sessions, and technical deep-dives to improve team and project outcomes\n, • Identifying, mitigating, and resolving blockers to team progress\n, • Contributing to 8th Light by serving as a mentor, leading or designing workshops internally or for clients, representing 8th Light in the tech community, or supporting our hiring processes\n, • Demonstrating leadership in scalable system design, modular architecture, and platform- or product-oriented development\n, • Bringing depth in testing strategies, observability, fault tolerance, and secure engineering practices\n, • Applying architectural patterns to evaluate tradeoffs and drive clear, documented design rationale\n\n Strongly Preferred Skills \n We work across many areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: \n\n • Platform engineering: building reusable software foundations, internal developer platforms, and infrastructure that other teams build on\n, • Data Engineering: including platforms like Databricks for data processing and analytics\n, • Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n\n, • DevSecOps & DevOps\n, • MLOps\n, • Infrastructure as Code\n\n Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning and growing together. We have a proud tradition of hiring talented colleagues with real-world career experiences. \n How You’ll be Supported \n At 8th Light, we believe our people are our greatest asset. Their growth, well-being, and success shape our future. \n\n • Our wellness package is designed with the Whole YOU in mind and includes:\n, • A robust L&D programme featuring unlimited access to thousands of books, courses, and expert-led training on the O'Reilly learning platform.\n, • Annual financial stipend and time allotment for learning & development\n, • Coworking support for our global team\n, • 12 weeks of new parent leave available for eligible employees\n\n See our full list of Benefits. \n A Note on Compensation \n At 8th Light, we are committed to a compensation philosophy that is transparent, fair, and helps us attract and retain top talent in alignment with our company’s strategic growth goals and clients’ needs. \n We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within London is: £92-818-£116-122 GBP \n Reach out to recruiting@8thlight.com for more relevant information pertaining to your local market. \n 8th Light Hubs and Geographies \n 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed team across the United States, Canada, and the United Kingdom, with hubs in Chicago, London, Los Angeles, New York, and Seattle. \n\n • London Co-working: Employees working from our London hub follow a hybrid model, which includes a minimum of one day per week in our Waterloo Office. This co-working day is designed to encourage collaboration and further strengthen our community.In most cases, our consulting engagements do not require travel.\n\n We hope to see you apply! \n #LI-Hybrid \n A Note on Your Privacy \n At 8th Light, one of our core values is Honesty that builds trust — and that shapes how we approach hiring. We want you to have a clear picture of who we are, what we're looking for, and how we handle your information throughout the process. \n Before submitting your application, please take a moment to review our Global Candidate Privacy Notice. By applying, you acknowledge that you've read it.

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. \n Description \n At Verisk, data and analytics power better decisions for businesses around the world. As a trusted global provider of data-driven insights, technology solutions, and risk intelligence, we operate in highly regulated environments where responsible data management and privacy are critical to our success. \n We are seeking a Senior Privacy Analyst to join our growing UK/EMEA Privacy team. This is an exciting opportunity for a privacy professional who wants to have a key operational role in supporting and enhancing a mature privacy programme across multiple jurisdictions, business functions, and technology platforms. \n Reporting into the EMEA Privacy Lead and working closely with stakeholders across Legal, Compliance, Information Security, Procurement, HR, Product Development, Marketing, Operations, and senior leadership teams, you will help ensure privacy requirements are embedded into day-to-day business activities and strategic initiatives. This is a non‑legal role and does not involve providing any legal advice for or to the organization. \n The Opportunity \n This hands-on role will support the continued development, operation, and enhancement of Verisk's privacy programme across the UK and EMEA. You will help operationalise privacy requirements, maintain key privacy documentation and workflows, coordinate privacy assessments, support data subject rights processes, and contribute to privacy-by-design initiatives across the organisation. The successful candidate will combine strong knowledge of UK and EU data protection requirements with excellent organisational skills, sound judgement, and the ability to work collaboratively with both technical and non-technical stakeholders. \n This position is London-based (hybrid) and offers the opportunity to work closely with colleagues across EMEA and within Verisk’s global privacy network. \n Responsibilities \n As a Senior Privacy Analyst, you will: \n\n • \n Support the day-to-day operation of Verisk's UK/EMEA privacy programme. \n • \n Assist business teams in maintaining Records of Processing Activities (ROPAs) and other compliance documentation. \n • \n Support the development and maintenance of privacy policies, standards, procedures, templates, playbooks, and governance documentation. \n • \n Coordinate and support Data Privacy Impact Assessments (DPIAs), Legitimate Interest Assessments (LIAs), and Transfer Impact Assessments (TIAs). \n • \n Work with stakeholders to identify, assess, and mitigate privacy risks across products, systems, vendors, business processes, and data initiatives. \n • \n Manage and coordinate Data Subject Access Requests (DSARs), including intake, investigation, tracking, documentation, and stakeholder engagement. \n • \n Support data mapping, data retention, minimisation, international transfer, and vendor risk management activities. \n • \n Assist with privacy incident and breach response activities, including fact gathering, remediation tracking, reporting, and stakeholder coordination. \n • \n Monitor developments in privacy, emerging regulatory areas (including AI where relevant), ePrivacy, and related regulatory frameworks. \n • \n Support privacy training, awareness campaigns, and communications across the organisation. \n • \n Maintain privacy metrics, dashboards, trackers, and reporting for management and governance forums. \n • \n Provide guidance and support on privacy-related enquiries and assist with audits, due diligence requests, and compliance reviews. \n\n Qualifications \n To be successful in this role, you'll ideally bring: \n\n • \n A recognised privacy qualification such as CIPP/E, CIPM, CIPT, or equivalent. \n • \n A minimum of 3 – 5 years' experience in privacy, data protection, compliance, or privacy operations. \n • \n Strong working knowledge of UK GDPR, EU GDPR, the UK Data Protection Act 2018, ePrivacy requirements, international data transfers, privacy-by-design principles, and accountability frameworks. \n • \n Experience supporting privacy programme activities such as impact assessments, data mapping, DSARs, incident response, vendor reviews, training, and compliance documentation. \n • \n The ability to interpret complex legal, regulatory, and technical requirements and translate them into practical business guidance. \n • \n Excellent written and verbal communication skills. \n • \n Strong attention to detail and organisational capability. \n • \n The ability to manage competing priorities and work independently within a fast-paced environment. \n • \n A pragmatic, risk-based approach and collaborative mindset. \n • \n Experience with privacy management platforms and familiarity with productivity tools such as Copilot, Claude, or ChatGPT would be advantageous. \n • Additional European language skills are desirable\n\n #LI-Hybrid

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 Your mandate is to build and maintain the foundational financial platform that guarantees the integrity and compliance of every transaction across Wise’s global ecosystem. The systems you own secure the integrity of over £40bn in monthly financial flow across all of Wise. \n Your impact: \n Within the Finance Product team, you will lead the Accounting and Operations workstream. This workstream is the architect of financial truth at Wise. You will operate as the foundational service provider that guarantees the integrity of every record of movement of money across the Wise ecosystem. \n\n • \n Organisational Role: Your team's systems are the single source of consumable financial data (the ledger of record) that underpins all critical downstream functions, including regulatory reporting, tax filing, as well as strategic decision-making by executive leadership. \n • \n The Scale: You will be leading the vision for a ledgering system currently processing over 1bn+ journal entries a month and supporting a sustained throughput of 200k events per minute. \n\n You will also be owning the Finance processes around: \n\n • \n Accounting business processes \n • \n Master data management \n • \n AR/AP and Payouts \n\n The core questions that you will answer in your role are - \n\n • \n How do you build systems and controls that ensure completeness and accuracy of financial flows? \n • \n How do you eliminate operational risks from financial processes? \n\n You will define and execute the product strategy to achieve real-time reconciliation and assurance at global scale, providing functional finance teams with systems they need to operate effectively, compliantly, and efficiently in 50+ countries. \n You are joining the Finance Product team at a pivotal, hyper-growth stage as Wise prepares to list in the US. The Finance team is strategically expanding its footprint to raise the bar on global regulatory maturity and provide a robust financial foundation for Wise’s sustained, rapid growth. This expansion is directly driven by the need to proactively mature our global financial controls and infrastructure to meet the highest standards required of a US-listed, global financial technology company. \n Qualifications \n\n • \n Domain Understanding \n \n • \n Understanding of finance systems in either an engineering, data or product role \n • \n Understanding of operating in Finance organisations including financial reporting, commercials, and risk and controls \n \n • \n Product Management Excellence \n \n • \n Multiple years of product building experience, either as a product, engineering or operations leader in a hands on role \n • \n Strong individual contributor, willing to get your hands dirty and build product yourself. Typically will have a background that shows they have a superpower (engineer, analyst, consultant, financial, serial entrepreneur, etc). \n • \n Held multiple product roles, and can draw on different experiences and roles when forming opinions and executing. \n • \n A willingness and capability to dive into the technical architecture, engaging directly with engineers to influence ledger design, data models, and event-sourcing patterns. \n • \n Have defined and moved KPIs with features shipped \n • \n Have built roadmaps for teams finding a path from uncertainty/chaos to clarity \n \n • \n Leadership \n \n • \n Enthusiasm for the Wise mission is essential - empathy for the problem we are solving and the fire to build something with no precedent \n \n • \n Flexible in approach - not stuck to a “by the book” product role definition. \n • \n Understands how to grow existing team members as well as hiring and onboarding team members. \n • \n Enthusiastic about learning new skills to unblock yourself and your team. \n • \n Problem Solving \n \n • \n Analytically-minded, can clearly frame problems, articulate hypotheses and solutions, measure them and has used the tools to be able to do this without an analyst \n • \n Showcases system-level thinking, a proven ability to look beyond the scope of a single product to design interconnected systems \n \n\n Nice-to-haves: \n\n • \n Finance, Payments or Treasury experience particularly in Ledgers, Controls or Accounting \n • \n Experience with SOx Controls or Audits \n • \n Experience of third party finance systems \n\n Additional Information \n\n • Base salary: £145,000 to £185,000 + RSUs\n, • \n Restricted Stock Units (RSUs): https://www.wise.jobs/what-we-do/our-offer/ \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 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.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards and mentor others while growing your technical and leadership impact. \n Job summary \n As a Lead Data Engineer at JPMorgan Chase within Personal Investing, you will design, build, and operate a robust cloud-native data platform and pipelines that power analytics, regulatory reporting, and data-promoten applications. You will help us deliver reliable, scalable, observable, and secure data solutions by applying strong software engineering fundamentals and modern data engineering patterns. You'll work closely with partners across product, analytics, and engineering to translate business needs into resilient technical designs. You'll also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction. \n Job responsibilities \n\n • Design scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbt\n, • Build and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observability\n, • Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations\n, • Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads\n, • Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented design\n, • Implement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform components\n, • Containerize and deploy services using Docker and Kubernetes (and related tooling such as Helm)\n, • Collaborate with analysts, data scientists, and application teams to turn requirements into technical designs and delivered solutions\n, • Own critical data systems by improving reliability, scalability, security, and operational excellence\n, • Mentor junior engineers and influence the team's technical direction through standards, reviews, and knowledge sharing\n\n Required qualifications, capabilities, and skills \n\n • Degree in Computer Science or a STEM-related field (or equivalent)\n, • Demonstrated experience delivering in an agile, fast-paced engineering environment\n, • 8 years of recent, hands-on professional experience actively coding as a data engineer\n, • Strong software engineering fundamentals (system design, data structures, object-oriented programming, testing strategies, and end-to-end development lifecycle)\n, • Strong Python programming skills, including unit and integration testing\n, • Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)\n, • Experience with large-scale distributed data processing and performance tuning\n, • Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\n, • Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)\n, • Experience designing and operating orchestration pipelines using Airflow or similar tools\n, • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems\n\n Preferred qualifications, capabilities, and skills \n\n • Data modeling experience for analytics and reporting use cases\n, • Knowledge of security, risk, compliance, and governance considerations for data platforms\n, • Experience building continuous integration and continuous delivery automation for data and platform services\n, • Experience with container-based deployment environments (Docker, Kubernetes, etc.)\n, • Demonstrated ability to coach teammates on engineering practices and contribute to a collaborative, inclusive team culture\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 Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n Role purpose \n The Senior Data Designer defines what data is ingested into the Enterprise Data Warehouse and how it is transformed for reporting and downstream use. The role involves analysing and documenting source system data, designing data ingestion methods and frequencies, and specifying mappings, transformations, and calculations. You will ensure the target data models are coherent, well‑documented, and aligned with the wider data warehouse architecture to support clear, business‑ready insights. \n This role will be based out of our Kingfisher office in Paddington or Southampton, with an expectation of 12 days a month in the office and could also include a combination of store visits, supplier visits and conferences. There will also be occasional travel to Banner offices and GBS Krakow. \n\n • Design performant, user‑friendly data warehouse models that enable business reporting and insights\n, • Translate complex business requirements into effective data model designs, working with stakeholders to clarify needs\n, • Identify, analyse, and document source systems and data, collaborating with subject‑matter experts to understand data creation and changes\n, • Develop and maintain logical and physical data models aligned with the data roadmap and architectural principles\n, • Define and maintain source‑to‑target mappings, transformations, calculations, and metadata in line with design standards\n, • Collaborate with Data Engineers and Quality Engineers to support development, testing, and delivery, while providing guidance to junior team members and supporting ad‑hoc work\n\n\n, • Experience as a data modeller or data architect, including modelling complex data\n, • Intermediate to advanced SQL querying skills\n, • Strong attention to detail with a collaborative approach to work\n, • Experience in data quality management\n, • Desirable: Data lifecycle management experience\n, • Desirable: Experience with non‑tabular/event‑based data processing and Unity Catalog\n\n How We Work We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-AK1

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals \n Build up a scalable data architecture to handle the large volume of transaction data\n • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • \n Passion for learning, sharing knowledge, building collaborations, and getting things done \n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\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 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 Baringa Partners to connect them with exceptional professionals for this role. \n \n Our Solutions and AI Lab Team are looking for an experienced Senior Full Stack Software Engineer to join the team. \n Our Solutions & AI Labs (SAIL) practice focuses on helping clients control their data, turn them into actionable insights and better leverage them through the use of Machine Learning solutions directly embedded into businesses processes. We support clients across a number of industries and offer deep expertise in AI, ML, cloud and managed solutions. \n What you will be doing \n You will be using your experience to help build and maintain internal and client solutions. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. \n Although we do not expect you to be an expert in all of the below activities at the same time, our team consists of people who can both work as advisors to our clients as well as being able to bring deep technical knowledge when needed. The profile of our typical engagements is a reflection of that. \n Web Applications: \n\n • Render web applications on both client-side and server-side to ensure robust management of headers and adherence to security policies\n\n\n, • Utilise modern frameworks such as Next.js and libraries like React\n\n\n, • Write comprehensive unit tests and apply testing tools including Jest and Cypress to ensure code quality and reliability\n\n APIs: \n\n • End-to-end deliver fully functional CRUD APIs, from local development through to cloud deployment and production readiness\n\n\n, • Define detailed production specifications and promote industry best practices\n\n\n, • Maintain APIs and effectively resolve any arising issues\n\n Processing Logic: \n\n • Manage event-driven communication patterns and efficiently handle request processing\n\n\n, • Identify potential loops and edge cases, and manage dead-letter queues (DLQs) for robust error handling\n\n Databases: \n\n • Design database schemas for both relational and NoSQL systems\n\n\n, • Execute schema and data/table migrations to support evolving application requirements. \n\n Releases: \n\n • Manage the release and versioning of software and related packages across various environments, including production. \n\n\n, • Prepare detailed release notes and plans, covering regression testing and established backout procedures for risk mitigation. \n\n \n Your Skills and Experience \n We're seeking passionate, talented, professional full-stack and software engineers who are eager to shape the next generation of AI and Machine Learning solutions platforms for our clients. Building on the core responsibilities outlined in “What you will be doing,” you will join a dynamic team working at the intersection of cutting-edge technology and practical innovation. \n\n • 3–5 years of hands-on experience in software engineering, specifically focused on developing and delivering modern web applications, APIs, and scalable platforms. \n\n\n, • Proficiency in JavaScript and Python, with a proven track record of delivering high-quality, maintainable code and leveraging both languages to solve complex technical challenges. \n\n\n, • Full-stack expertise, comfortable working across front-end frameworks (such as React or Next.js) and back-end services, seamlessly integrating user interfaces with robust server-side functionality. \n\n\n, • A strong interest in AI and Machine Learning, and experience building or integrating intelligent features into applications—whether through custom development or by leveraging cloud-based AI/ML services. \n\n\n, • Exposure to modern software development practices including CI/CD pipelines, cloud platforms and Infrastructure as Code. You are confident applying these practices to build scalable, secure, and reliable solutions. \n\n\n, • Collaborative mindset, able to work closely with consultants, data scientists, and business stakeholders to understand requirements and translate them into innovative, impactful solutions for our clients. \n\n\n, • Continuous learner—you are always exploring the latest frameworks, tools, and methodologies in software engineering and AI, and are keen to bring fresh ideas to the table. \n, • Clear communicator—able to articulate technical concepts to both technical and non-technical audiences, and willing to mentor junior team members. \n\n Join us \n All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

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 Senior Data Scientist - Hybrid Working - London/Home \n Why join us \n In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty. \n This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale. We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI. \n This role will work in a team dedicated to personalising customer experiences within the Nectar loyalty programme and optimising large-scale offer decisioning systems across a range of touchpoints. As one of the senior individual contributors in the team, you’ll apply your wealth of experience and ideas to design, build, and improve our capabilities – driving value for the customer and the business. \n What you’ll do \n Solve the hard problems \n\n • \n Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. \n • \n Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. \n • \n Own sub-projects where appropriate, leading junior colleagues and engaging with stakeholders. \n\n Embody and improve best practice \n\n • \n Align to best practice across modelling, experimentation, deployment, and model lifecycle management. \n • \n Coach through doing – pairing on code and demonstrating standards. \n\n Be an enthusiastic member of our community \n\n • \n Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate. \n • \n Understand how our business really works, including by supporting our stores during peak trading periods. \n • \n Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams. \n\n Who you are \n We’re looking for a highly motivated self-starter – someone who fixes problems and creates value without micromanagement. You need to thrive in a challenging role, and know how to balance our need for technical rigour against our need to deliver commercial and customer value. \n Value delivery \n\n • \n Deep experience in Data Science roles, with evidence of solving complex problems end-to-end. \n • \n A record of building systems which run in production, and an understanding of the value these generated. \n • \n An ability to understand commercial reality as well as technical rigour. \n • \n Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical rigour. \n • \n A strong ability to communicate ideas to audiences of varying technical background and seniority. \n\n Data Science expertise \n\n • \n Strong grounding in statistical modelling and machine learning, such as Predictive modelling at scale, unsupervised learning, causal inference and experimentation and optimisation and decisioning \n • \n Strong understanding of the “how” behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls. \n\n Production-grade design \n\n • \n Extensive programming ability across Python and strong ability to use SQL, with a proven experience of developing complex solutions in a corporate environment. \n • \n Solid understanding of working with production codebases, such as version control, CI/CD, and batch processing. \n • \n Practical experience working on cloud-based ML platforms. \n\n Development and coaching \n\n • \n A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI. \n • \n Ability to support in the development, training and mentoring of others. \n\n Essential Criteria \n\n • \n Extensive experience in previous Data Science roles \n • \n A record of building systems which run in production \n • \n A strong ability to communicate ideas to audiences of varying technical background and seniority \n • \n Strong grounding in statistical modelling and machine learning, including predictive modelling and linear optimisation. \n • \n Extensive programming ability across Python and strong ability to use SQL \n • \n Solid understanding of working with production codebases, such as version control and CI/CD \n\n #DataAndAnalytics \n #DataScience \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 20% 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, and we provide private healthcare. 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, 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 J.P. Morgan to connect them with exceptional professionals for this role. \n NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence \n The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. \n The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. \n \n Job Responsibilities \n\n • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community\n, • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, LLMs or recommendation systems\n, • Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals.\n, • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production\n, • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business\n\n \n Required qualifications, capabilities, and skills \n\n • Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods\n, • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience in the field\n, • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)\n, • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals\n, • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.\n, • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments\n, • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems\n\n \n Preferred qualifications, capabilities, and skills \n\n • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development\n, • Knowledge in search/ranking, Reinforcement Learning or Meta Learning\n, • Expertise in recommendation systems\n, • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code\n, • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal \n \n\n About MLCOE \n The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning \n \n For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we're using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_... \n \n The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. \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 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 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 Data Scientist to join our growing Trust & Safety Team in London. \n This role is a unique opportunity to work behind the scenes of company transactions, understand how we mitigate risk and at the same time provide our customers with the seamless service they deserve. What you build will have a direct impact on Wise’s mission and millions of our customers. \n As a Lead Data Scientist in the Trust & Safety team, you will leverage your expertise in data science to innovate and deploy models that detect and prevent fraudulent activities. Your work will directly influence our ability to safeguard our platform against unauthorized access and enhance our overall security framework. You will collaborate closely with cross-functional teams, including engineering, product, and security operations. \n Key Responsibilities: \n\n • Lead the development and deployment of advanced machine learning models to detect, predict, and mitigate account takeover attempts.\n, • Analyze large volumes of data to identify trends, patterns, and anomalies associated with potential ATO and Send Scam threats.\n, • Design and implement experiments to evaluate the effectiveness of fraud detection systems and continuously improve their performance.\n, • Collaborate with security analysts and engineers to translate business and security requirements into actionable data insights and solutions.\n, • Develop robust data pipelines, algorithms, and tools to support real-time detection and response to ATO and Send Scam threats.\n, • Stay informed about the latest advancements in data science, machine learning, and fraud prevention techniques to ensure state-of-the-art capabilities in ATO and Send Scam.\n, • Mentor and guide junior data scientists, fostering a culture of collaboration and continuous learning within the team.\n\n Qualifications \n A bit about you: \n\n • \n Proven experience in a data science role with a focus on fraud detection, cybersecurity, or fin tech related domains \n • \n Have build machine learning models for Send Scam (Victim Identification) and Account Takeover (ATO) \n • \n Strong proficiency in machine learning frameworks and programming languages such as Python, R, or similar. \n • \n Experience working with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL). \n • \n Familiarity with anomaly detection, supervised, unsupervised learning methods, deep learning, and graph based solutions \n • \n Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders. \n • \n A proactive, problem-solving mindset with a passion for protecting users from fraudulent activities. \n • \n You have a solid knowledge of Python, and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others (e.g. opening Pull Requests on GitHub) and are able to review code. Ability to read through code, especially Java. Demonstrable experience collaborating with engineering on services; \n • \n You have experience with mining into event logs to identify patterns and associations \n • \n You are familiar with a range of model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these \n • \n Experience with statistical analysis and good presentation skills to drive insight into action; \n • \n A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; \n • \n Good communication skills and ability to get the point across to non-technical individuals; \n • \n Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. \n\n Additional Information \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 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 LexisNexis to connect them with exceptional professionals for this role. \n Are you ready to take your data science expertise to the next level and lead impactful projects? \n Would you enjoy working on advanced machine learning models and cutting-edge analytics solutions? \n About our team: \n We are a fast-moving, high-impact Data Science & AI team building real-world GenAI and ML solutions across the entire LexisNexis business. Our work powers smarter decisions for Product, Sales, Finance, Marketing, Customer Success, and Engineering—everything from predictive models to enterprise GenAI apps to automation that transforms how teams operate. \n We are data science generalists who love variety. One day, it is designing a new GenAI workflow, the next it is deploying a model into Salesforce or engineering a pipeline in Databricks. We own our projects end-to-end and partner directly with stakeholders to deliver solutions that get used and make a measurable difference. \n If you want to experiment, build, ship, and see your work drive real impact across a global organisation, you will feel right at home with us. \n About the role: \n We are seeking a Senior Data Scientist II who is a Data Science Generalist. The ideal candidate is comfortable working across GenAI, traditional machine learning, analytics, data engineering, cloud platforms, and enterprise system integrations. \n In this role, you will design, build, and deploy AI and ML solutions that support key business functions across Product, Sales, Finance, Marketing, Customer Success, and Engineering. You will work end-to-end across ideation, modelling, experimentation, prompt engineering, deployment, monitoring, and stakeholder communication. \n This position is ideal for a versatile data scientist who enjoys solving diverse problems, working with multiple systems, and driving measurable business impact. \n Responsibilities: \n\n • \n Build GenAI applications using OpenAI APIs, embeddings, vector search, and retrieval-augmented generation (RAG). \n\n\n • \n Design advanced prompt engineering patterns and automated evaluation frameworks for LLM quality and safety. \n\n\n • \n Develop and deploy traditional ML models (e.g., churn, propensity, sentiment/feedback, lead scoring, customer intelligence). \n\n\n • \n Own the end-to-end model lifecycle: data prep, experimentation, deployment, and monitoring. \n\n\n • \n Build and optimize feature pipelines and scoring jobs using Python, Databricks, Spark, Delta Lake, and AWS. \n\n\n • \n Use AWS services (S3, Redshift, Lambda) for data automation, orchestration, and scalable processing. \n\n\n • \n Ensure data quality, observability, lineage, and documentation across data and ML pipelines. \n\n\n • \n Deliver enterprise integrations with Salesforce (SFDC) and Oracle platforms (Fusion, Service Cloud, Peoplesoft) for batch and real-time workflows. \n\n\n • \n Create analytics solutions with cross-functional partners: define KPIs, connect customer/product/finance/CRM data, and drive actionable recommendations. \n\n\n • \n Productionise reliably: provide L2/L3 support, monitor drift/data quality/prompt performance, run root-cause analysis, and implement preventative fixes. \n\n Requirements: \n\n • \n Strong Python programming skills. \n\n\n • \n Direct experience with OpenAI APIs, LLM workflows, and prompt engineering. \n\n\n • \n Solid machine learning fundamentals, including supervised learning, NLP, and feature engineering. \n\n\n • \n Experience with Databricks, Spark, and Delta Lake. \n\n\n • \n Strong SQL skills with experience working on large datasets. \n\n\n • \n Experience with AWS, including S3 and Lambda. \n\n\n • \n Familiarity with Redshift, Snowflake, or other cloud data warehouses. \n\n\n • \n Experience with behavioral datasets. \n\n\n • \n Ability to work across machine learning, data engineering, analytics, and integrations. \n\n\n • \n Ability to design end-to-end solutions spanning data, models, APIs, and automation workflows. \n\n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes. \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions \n \n\n Required qualifications, capabilities, and skills \n\n • Hands on experience in an ML engineering role\n, • Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Track record of developing, deploying business critical machine learning models \n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Specialism in NLP or Computer Vision\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Extensive experience with pytorch, numpy, pandas\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)\n, • Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies (e.g. Spark, Hadoop)\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Familiarity with GraphQL\n\n #CIBAppliedAI \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 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 Flutter UK&I to connect them with exceptional professionals for this role. \n The Frontier R&D team sits within Flutter UKI's Disruptive R&D function, dedicated to exploring emerging technologies over a 12-36 month horizon. We prototype rapidly with cutting-edge tools, build relationships with technology providers, and create demonstrations that inform strategic decisions across the business. Our work transforms ambitious concepts into tangible outputs that can be developed into full-scale projects. \n As Prototyping Engineer, you will be the technical engine of the team, turning ideas into working software at pace. \n What you’ll do \n\n • Rapidly building functional prototypes across a wide range of technology domains, from machine learning systems to API integrations\n, • Leveraging generative AI coding assistants and productivity tools to maximise development velocity\n, • Developing proof-of-concept applications that demonstrate the potential of emerging technologies for betting and gaming\n, • Building automated pipelines and workflows for content generation, data processing, and system integration\n, • Integrating with third-party APIs and services to create novel product experiences\n, • Implementing machine learning models and neural network architectures for experimental applications\n, • Deploying prototypes to internal demonstration environments and hubs for stakeholder evaluation\n, • Collaborating with the Research Graduate on technical feasibility assessments\n, • Contributing to technical presentations and documentation of prototype capabilities\n\n What you’ll need: \n\n • Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.)\n, • Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar)\n, • Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent)\n, • Proven ability to deliver working prototypes quickly with minimal specification\n, • Experience with API development and integration, including RESTful services and webhooks\n, • Familiarity with cloud platforms and deployment pipelines (AWS, GCP, Azure, or similar)\n, • Comfort working with ambiguity and rapidly evolving requirements\n, • Genuine enthusiasm for learning new technologies and experimenting with emerging tools\n\n Desirable: \n\n • Experience building mobile applications or progressive web apps\n, • Knowledge of betting or gaming industry systems and APIs\n, • Experience with neural network architectures for generative or predictive applications\n, • Familiarity with game development engines or creative automation tools\n, • Background in mathematics, statistics, or computational science\n\n What’s on offer \n\n • £/€1,000 learning fund\n, • Twice-yearly bonus (with part of it guaranteed!)\n, • Unlimited Holiday\n, • Pension contribution scheme\n, • Private healthcare\n, • Hybrid Working\n, • Access to thousands of Udemy courses\n, • Invest via the Company Sharesave Scheme\n\n About Flutter \n Flutter is the world’s leading online sports betting and iGaming operator, with a market leading position in the US and across the world. Our ambition is to change our industry for the better, making use of our significant scale and challenger mentality. \n By Changing the Game, we believe we can deliver long-term growth while promoting a positive, sustainable future for the industry. We are well-placed to do so through the distinctive, global advantages of the Flutter Edge, which gives our brands access to group-wide benefits to stay ahead of the competition, as well as our clear vision for sustainability through our Positive Impact Plan. \n Flutter operates a diverse portfolio of leading online sports betting and iGaming brands including FanDuel, Sky Betting & Gaming, Sportsbet, PokerStars, Paddy Power, Sisal, tombola, Betfair, MaxBet, Junglee Games and Adjarabet. \n About Flutter UK & Ireland \n The UK & Ireland region of Flutter unites some of the biggest brands in the betting and gaming industry; Betfair, Paddy Power, PokerStars, Sky Betting & Gaming and tombola. \n At Flutter UK & Ireland, we strive for the next level and drive innovation to set the pace as leaders, putting our customers first, always . We win together through team spirit and unparalleled dedication. When we’re free to be ourselves , we thrive and unleash our unique talents —creating a culture that empowers our people to change the game. We see opportunity everywhere and there is always more to discover... \n We’re working to be an inclusive employer. We encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role. \n If you need any adjustments to make this role work for you let us know, and we’ll see how we can accommodate them.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an HR Product Delivery Senior Associate within Employee Experience, you will play a pivotal role in driving the successful delivery of various HR products focused on employee development and performance. You will collaborate closely with product managers and cross-functional teams to ensure timely delivery, effective risk management, and alignment with organizational goals. Your expertise in project management and cross-functional collaboration will be key to achieving our mission of empowering employees to reach their full potential. \n Job Responsibilities: \n\n • Understand the company's vision, mission, and goals, and support in translating them into actionable delivery plans.\n, • Help lead the kick-off, planning, execution, and delivery of HR products, ensuring projects are completed on time, within scope, and budget.\n, • Work closely with product managers, designers, engineers as well as data specialists and other departments to facilitate communication and collaboration across teams.\n, • Identify potential risks and develop mitigation strategies to ensure smooth project delivery. Manage the group's risk and control book of work.\n, • Manage the stakeholders map, build and maintain strong relationships with stakeholders to understand their needs and ensure alignment with project objectives.\n, • Track project progress, analyze product performance metrics, share insights and report on key deliverables to senior management.\n, • Drive process improvements and best practices to enhance efficiency and effectiveness in product delivery.\n, • Work with product managers, communication and change management teams to ensure user engagement, awareness and adoption.\n, • Work with product managers, data and analytics teams to understand success metrics as well as areas of improvement and innovation.\n, • Develop strategies to maximize the value of the Delivery Team for the broader Employee Development and Progression Team.\n\n Required qualifications, skills, and capabilities: \n\n • 3+ years of experience or equivalent expertise in product delivery or a relevant domain area including a focus on guiding teams to adopt agile methodologies and practices\n, • Bachelor's degree in Human Resources, Business Administration, Project Management, Product Management or related field.\n, • Proven experience in project management, within HR or employee development.\n, • Strong understanding of HR processes and employee development strategies.\n, • Excellent communication and interpersonal skills.\n, • Ability to manage multiple projects simultaneously and prioritize tasks effectively.\n, • Proficiency in project management tools and software.\n, • Strong analytical and problem-solving skills.\n\n Why Join Us: \n\n • Opportunity to make a meaningful impact on employee development and progression.\n, • Collaborative and inclusive work environment.\n, • Professional growth and development opportunities.\n, • Opportunity to work with AI / LLM efficiencies and innovation.\n\n If you are passionate about driving employee development and have the skills to lead successful product delivery, we invite you to apply for this exciting opportunity. Join us in shaping the future of the JPMorgan Chase workforce \n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \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 JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \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. \n Human Resources plays a critical role in driving the employee experience, shaping the firm's culture and building a diverse and inclusive workforce. We are a strategic partner to the business - working with leaders across the firm to hire, develop and retain the best people and help meet business goals. Together, we foster a work environment in which our people are supported, feel like they belong and are able to make an impact through their work. We develop and deliver a suite of products and services that help make JPMorgan Chase an employer of choice and drive our business forward.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Argos \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. \n 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. \n 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. \n 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 Why Join Us \n At Argos, data is one of the most important parts of how we operate, innovate and serve our customers; our Data & Analytics Team ambition is to build the most technically-advanced, commercial and impactful capability in the industry, powering our Next-Level Strategy and helping to create an AI-powered Argos, enabling More Argos, More Often through Inspiring Choice, Always Great Value and Supercharging our Digital Capabilities. \n The role holder will be responsible for delivering deep-dive Customer Analytics, primarily Digital but with a view across the full end-to-end Customer Journey, focusing on segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics to provide a clear Single Customer View. \n What you'll do \n\n • Performing deep-dive, Digital data-led analysis of Argos Digital Channel performance, focusing primarily on Customer Analytics to generate insights and informing our stakeholders of Campaign, Commercial and Customer Experience optimisation opportunities.\n, • Supporting the Analytics Manager – Customer and Digital Marketing Analytics, by: \n \n, • Acting as a Customer Analytics subject matter expert across Argos Digital Channels to ensure business partners have the right analytics and insights to make decisions on change across our Digital Channels.\n, • Effective management and prioritisation of Data & Analytics Use Cases to ensure on-time and high-quality delivery.\n, • Act as part of a cohesive Digital & Customer Analytics team by collaborating with and supporting the wider eCommerce, Digital Product Analytics and Marketplace Analytics team; providing a complete and accurate analysis of our end-to-end Customer Journey and Digital Channel performance.\n, • Triage and assessment of D&A Use Cases to clearly understand the ask, providing subject matter expert input to guide the correct Data and Analytics approach to deliver the requirements.\n, • Effective stakeholder management across multiple teams and levels, up to senior leadership.\n, • Acting as a central point of contact between Business and Technical teams to guide Data and Analytics requirement definition and implementation across the Product Design lifecycle.\n, • Identification of new ways to improve and optimise existing ways of working through automation and optimisation, including research into emerging technologies.\n \n\n What I need to know \n\n • Expert level hands-on experience with SQL, Python, Power BI, and familiarity with Snowflake, AWS or similar cloud data technologies.\n, • You must have extensive experience in Customer Analytics and Insight Generation in a Digital Retail Click-and-Collect environment, including Customer Segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics.\n, • You are an expert in Data storytelling, turning complex and technical Analytics terminology into clear, unambiguous and engaging business direction.\n, • Extensive experience analysing data and multiple-source datasets to generate actionable insights from large, complex data environments.\n, • Expert knowledge of Digital data technologies and solutions across the data lifecycle—from data collection, definition and processing to enrichment, storage and visualisation.\n, • Proven ability to influence and manage senior stakeholders across multiple workstreams in a complex retail, omnichannel or digital environment.\n\n Essential Criteria \n\n • Proven ability to analyse large, complex and multi-source datasets to produce actionable insights, including hands-on use of data analysis tools such as SQL and Python, and insight visualisation using platforms such as Power BI or equivalent.\n, • Demonstrable experience delivering customer analytics and insight within a digital retail or omnichannel environment, including customer segmentation, customer lifetime value, behavioural analysis and customer journey analytics.\n, • Proven capability to translate business questions into defined data use cases, including the development of measurement frameworks, KPIs and clearly articulated success measures that support business decision-making.\n, • Demonstrable experience influencing senior stakeholders and leading others within a data and analytics function, including providing analytical direction, mentoring colleagues and producing executive-level reporting or dashboards.\n\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. \n 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. \n We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. \n When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: \n\n • 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.\n, • We've also got you covered for your future with our pensions scheme and life cover.\n, • 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.\n, • Your wellbeing is important to us too.\n, • You'll receive an annual holiday allowance and you can buy up to an additional week's holiday.\n, • 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.\n, • And if you ever need it there is also an employee assistance programme.\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

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. \n Working within the Data Analytics team you will be are responsible for applications that store large amounts of cross asset market data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS, re-architect our applications and build-out greenfield projects. \n Job responsibilities \n\n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Adds to team culture of diversity, equity, inclusion, and respect\n, • Develop core systems and frameworks based on KDB.\n, • Lead team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards.\n, • Develop scalable real-time processing solutions using agile methodology.\n, • Partner with stakeholders to capture requirements and deliver solutions.\n, • Partner with the application support teams to maintain and support the platform. \n\n Required qualifications, capabilities, and skills \n\n • Formal training or certification on software engineering concepts and advanced applied experience\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Development lead experience: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing.\n, • Deep understanding of KDB technology and Q language. At least 7 years of professional experience using KDB. With at least an additional 2 years as a Lead. \n, • Deep understanding of KDB+tick design and data organization, performance implications of different approaches.\n, • Practical experience developing/running large datasets and optimizing query performance.\n, • Practical experience scaling and load-balancing of KDB applications.\n, • Practical experience building resilient and high-availability KDB applications.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience with market data venue and vendor data platforms.\n, • AWS Experience.\n, • Experience in Terraform and Kubernetes from managing\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 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 LexisNexis to connect them with exceptional professionals for this role. \n Data Scientist III \n Excited to uncover insights from complex data and turn them into impactful business decisions? \n Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? \n About the team: \n LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence, bringing clarity to innovation for businesses, law firms, universities, and government agencies worldwide. Our mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. \n Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. \n About the role: \n We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. \n Key Responsibilities: \n\n • \n Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). \n • \n Define agentic workflows and reasoning strategies for multi-step IP tasks. \n • \n Develop retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). \n • \n Analyse large-scale IP datasets to extract insights and improve model performance. \n • \n Establish best practices for model evaluation, validation, and benchmarking. \n • \n Translate experimental results into clear product recommendations and business impact. \n • \n Collaborate with product, IP experts, and engineers to align solutions with user needs. \n\n Requirements: \n\n • \n Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). \n • \n Strong experience in machine learning, NLP, and LLM-based modeling. \n • \n Strong experience designing and running experiments, including model evaluation and iteration. \n • \n Strong coding skills in Python. \n • \n Experience with generative AI techniques (e.g., prompt engineering, RAG). \n • \n Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. \n • \n Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., Google ADK, LangChain, LangGraph, AutoGen) in real-world use cases. \n • \n Proficiency in data analysis tools. \n • \n Strong foundation in statistics, modeling, and large-scale text processing. \n\n Why Join Us? \n Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. \n Work in a way that works for you \n We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n\n • \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. \n\n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • \n Generous holiday allowance with the option to buy additional days. \n • \n Health screening, eye care vouchers, and private medical benefits \n • \n Wellbeing programs \n • \n Life assurance \n • \n Access to a competitive contributory pension scheme \n • \n Save As You Earn share option scheme. \n • \n Travel Season ticket loan. \n • \n Electric Vehicle Scheme \n • \n Optional Dental Insurance \n • \n Maternity, paternity, and shared parental leave \n • \n Employee Assistance Programme \n • \n Access to emergency care for both the elderly and children \n • \n RECARES days, giving you time to support the charities and causes that matter to you. \n • \n Access to the employee resource groups with dedicated time to volunteer. \n • \n Access to extensive learning and development resources \n • \n Access to the employee discounts scheme via Perks at Work \n\n About the business- \n At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results \n . \n We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. \n We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. \n Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. \n Please read our Candidate Privacy Policy. \n We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. \n USA Job Seekers: \n EEO Know Your Rights.

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 are looking for a Senior Staff Engineer (IC5) to join our Risk Assessment Platform squad. Our mission is to build a platform that allows Wise product teams to stay safe and compliant by executing risk assessments quickly and easily, while enabling our Financial Crime and Compliance teams to build controls with minimal effort. \n Positioned exactly between these two worlds, our team is in the best possible place to drive company-wide impact. We ensure our customers can achieve their goals safely, conveniently, and without friction. Because we sit at the heart of the action at Wise, we deal with massive amounts of data and high-throughput systems—making this an incredibly attractive playground for engineers who love solving complex, high-scale problems. \n How we work: \n At Wise, we believe in autonomy, alignment, and impact. As an IC5 engineer, you won't just be executing tasks—you will be a visionary. You will own fundamental components and libraries, collaborate across diverse teams, and define the long-term technical strategy for your domain. We value open communication, high technical standards, and a passion for solving real-world financial challenges. \n What will you be working on?: \n In the near future, you will be spearheading technical solutions for our biggest upcoming challenges: \n\n • \n Data Integrity: Solving complex problems related to data lineage, completeness, and validity. \n • \n Bridging the Gap: Designing and defining the technical contracts between Product teams and Financial Crime teams. \n • \n End-to-End Flows: Building robust, scalable e2e risk assessment workflows. \n • \n System Optimization: Driving initiatives to continuously improve our speed, latency, and cost metrics. \n\n What do you need?: \n\n • \n Deep Backend Expertise: Solid, production-proven experience with Java and modern (micro)service architectures. \n • \n System Design & Protocols: A rock-solid understanding of both synchronous and asynchronous communication protocols. \n • \n Advanced Architecture Skills: Experience owning and designing fundamental components, shared libraries, and core infrastructure. \n • \n Technical Leadership: The ability to act as a visionary, mapping out a clear technical strategy for your ownership area and mentoring others to get there. \n • \n Strong Communication: Exceptional collaboration skills, with the ability to translate complex technical concepts and align a highly diverse set of stakeholders. \n\n Nice to Have: \n\n • \n Previous experience working closely with data streaming and processing frameworks. \n • \n Hands-on experience solving complex data validity or data lineage problems at scale. \n • \n Background working in Fintech, Regtech, or high-throughput financial systems. \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 + RSU \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 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 MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Senior Security Architect (Manager) in Kainos, you’ll be responsible for the design and application of industry leading security practices in the platforms and services we build for our customers. Our projects range greatly in variety, from visa and passport processing systems, to hospital medical record platforms and global financial management and HCM systems. \n You’ll work with Agile delivery teams to ensure that they follow good security practices throughout the software development journey. You’ll learn about and apply new technologies and approaches, with talented colleagues who will help you develop and grow. \n You’ll share knowledge and help educate people on good security practices – both customers and Kainos team members. You’ll manage, coach and develop 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 (ESSENTIAL) REQUIREMENTS \n • Expertise in leading the secure design of new cloud services and solutions in line with defined security strategies. \n • Expertise in identifying security issues in existing system designs, including recommending sensible mitigations that balance cost, risk and usability. \n • Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). \n • Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/ Security Architecture \n • Experience in application architecture, software development and/or infrastructure architecture. \n • Industry experience in one of the following sectors: Public/Healthcare/Defence/Commercial Sectors \n • Experience in testing the security of software and infrastructure using appropriate security tools. \n • Experience with Continuous Security, Continuous Integration and Continuous Delivery techniques \n • Experience of network security (e.g. OSI, TCP/IP), web application security (e.g. OWASP) and cryptographic controls (e.g. PKI, TLS). \n • We are passionate about developing people – a demonstrated ability in managing, mentoring and coaching members of your team and wider community is important \n • Excellent communication skills, with the ability to convey security complexities to audiences of various technical abilities (e.g. senior stakeholders, development teams). \n DESIRABLE \n • Experience of Identity management and authentication/authorisation products and patterns. \n • Experience in at least on Industry Vertical \n • Involvement across the full security lifecycle \n • End-to-end security involvement, including governance, risk and compliance, operational security, supply chain security and secure user management. \n • Active participation in knowledge sharing activities, both within the team and at a wider capability level and externally where appropriate. \n • Penetration specialist certifications \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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \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 Lead Data 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. \n Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus \n on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, \n customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. \n Job responsibilities \n ⢠Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the \n latest technologies and the best industry practices \n ⢠Use domain modelling techniques to allow us to build best in class business \n 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 \n patterns. \n ⢠Develop secure code so that our customers and ourselves are protected from \n 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 \n 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 \n production and during incident management \n Required qualifications, capabilities & skills \n ⢠Formal training or certification on data engineering concepts and applied \n experience \n ⢠Recent hands-on professional experience as a data engineer \n ⢠Experience in coding in a recent version of the Python programming language \n ⢠Experience in designing and implementing effective tests (unit, component, \n integration, end-to-end, performance, etc.) \n ⢠Excellent written and verbal communication skills in English \n ⢠Experience with cloud technologies and distributed systems \n ⢠Experience with data transformation frameworks and data pipeline orchestration \n tools \n ⢠Experience with managing large volumes of data and optimizing data processing \n ⢠Understanding of event-base architecture, data streaming and messaging \n frameworks \n ⢠Coach other team members on coding practices, design principles, and \n implementation patterns that lead to high-quality maintainable solutions. \n ⢠Manage stakeholders and effectively prioritize work across multiple work \n streams. \n Preferred qualifications, capabilities & skills \n ⢠Experience in working in a highly regulated environment / industry \n ⢠Experience with AWS cloud technologies \n ⢠Experience with data governance frameworks \n ⢠Understanding of incremental data processing and versioning \n ⢠Understanding of RESTful APIs and web technologies \n #ICBEngineering #ICBCareers \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 JOB DESCRIPTION \n Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. \n As an Applied AI / ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. \n Job responsibilities \n\n • Build robust Data Science capabilities which can be scaled across multiple business use cases\n, • Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems\n, • Research and analyse data sets using a variety of statistical and machine learning techniques\n, • Communicate AI capabilities and results to both technical and non-technical audiences\n, • Document approaches taken, techniques used and processes followed to comply with industry regulation\n, • Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.\n, • Act as an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate's experience.\n\n Required qualifications, capabilities, and skills \n\n • Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics\n, • Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)\n, • Specialism or well-researched interest in NLP\n, • Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc.\n, • Experience monitoring, maintaining, enhancing existing models over an extended time period\n, • Extensive experience with pytorch and related data science python libraries (e.g. pandas)\n, • Experience of containerising applications or models for deployment (Docker)\n, • Experience with one of the major public cloud providers (Azure, AWS, GCP)\n, • Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.\n\n Preferred qualifications, capabilities, and skills \n\n • Experience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)\n, • Experience of big data technologies\n, • Have constructed batch and streaming microservices exposed as REST/gRPC endpoints\n, • Experience with container orchestration tools (e.g. Kubernetes, Helm) \n, • Knowledge of open source datasets and benchmarks in NLP\n, • Hands-on experience in implementing distributed/multi-threaded/scalable applications\n, • Track record of developing, deploying business critical machine learning models\n\n #CIBAppliedAI \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 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 AND Digital to connect them with exceptional professionals for this role. \n We’re on a mission to close the world’s tech skills gap. \n We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. \n Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology. \n That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. \n Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world. \n About you: \n\n • You care deeply about producing high-quality work that delivers real value\n, • You’re comfortable navigating ambiguity and solving complex problems collaboratively\n, • You bring strong expertise in your craft, alongside a willingness to keep learning\n, • You communicate clearly and build trust quickly with clients and teammates\n, • You’re pragmatic, adaptable and outcome-focused\n, • You enjoy sharing knowledge and helping others grow\n, • You value low-ego collaboration and enjoy working as part of multidisciplinary teams\n\n What you’ll bring to the table: \n\n • Act as the subject matter expert on all UK payroll legislation, ensuring strict compliance with HMRC, RTI (Real Time Information) submissions, and Auto-Enrolment pension regulations.\n, • Manage and deliver the end-to-end processing of our monthly payroll for approximately 600 employees via ADP (processing client) \n, • Processing benefits via monthly payroll\n, • Good understanding of the payroll and benefits systems \n, • Strong proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables)\n, • End of Year reporting and key contact for payroll related audit queries\n, • Naturally curious about data structures, automation, and root-cause analysis.\n\n\n, • Absolute trustworthiness, data ethics, and emotional intelligence.\n\n \n Why join AND Digital? \n We’re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. \n Our model is designed to build belonging and connection: we’re organised into regional ‘Clubs’ of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole. \n Our Practice Areas act as a ‘second home’ for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy. \n Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves. \n By joining AND, we’ll provide: \n\n • 25 days bookable holiday + flexible Bank Holidays \n, • Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice).\n, • Aviva healthcare cover (including pre-existing condition cover) for you.\n, • Flexibenefit: £1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the £1000 can be taken as cash. \n, • Life Assurance.\n, • Income Protection.\n, • Eye test + first pair of glasses.\n, • Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave.\n\n Equal Opportunities Statement \n Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. \n We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.

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 The purpose of this role is to deliver exceptional claims service by accurately assessing policy coverage, investigating, evaluating, and negotiating assigned cases to achieve fair and efficient resolutions. \n Senior Complex Claims Adjuster – Marine and Energy Liabilities \n London/hybrid \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 Please note - Applicants must have the right to work in the UK as visa sponsorship is not available for this role. \n Your new role \n Reporting to Complex Marine, Energy and Political Claims Manager, you will oversee the examination, evaluation, and processing of complex Claims estimates and paid Claims values, ensuring adherence to policy terms and conditions in alignment with the QBE Claims Philosophy. \n\n • \n In depth knowledge of Marine and Energy liability Insurance. \n • \n Manage a portfolio of complex, high‑value and/or high‑exposure claims from notification through to settlement or closure \n • \n Take ownership of claim strategy, including investigation scope, expert appointment, reserving philosophy and settlement approach. \n • \n Lead and coordinate detailed claim investigations, including appointed experts and follow Market loss adjusters, forensic accountants, engineers, surveyors and legal counsel as required. \n • \n Develop and maintain good client relationships with the insured, agents, service providers, and the general public. \n • \n Ensure recoverable amounts are assessed and effectively followed up and approving significant claims within written authority levels. \n • \n Support the implementation and communication of the Claims strategy to enable the delivery of overall business targets. \n • \n Contribute to the development of appropriate strategies, processes, and procedures for the Claims operation to support the delivery of business targets. \n • \n Assist in the forecast of Claims activity through analysis of business levels and knowledge of the Claims environment to support decision-making. \n • \n Maintain efficient handling of own caseload to ensure the prompt, timely, and effective handling of Claims. \n • \n Assist developing younger colleagues to ensure the overall output and quality of the service provided by the team is within specified levels. \n • \n Motivate and develop younger members of the team by demonstrating good leadership behaviours and through the use of management best practices, to enable the development of staff to support the achievement of business goals.. \n\n About you \n\n • \n Extensive knowledge of Marine and Energy liability Insurance. \n • \n Experience working with complex and/or high value claims. \n • \n Excellent Investigative skills \n • \n Current knowledge of compliance, regulatory and statutory requirements \n • \n Excellent communication negotiation skills \n • \n Effective presentation skills \n • \n Relationship Management skills \n • \n Able to produce MI and detailed reports at various levels \n\n Benefits \n We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. 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 Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. \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 Private medical insurance – we fund fully comprehensive private medical cover for you and all the family. \n • \n Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. \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 Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own. \n • \n Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000. \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 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 \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 How to Apply \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\n Skills: \n Analytical Thinking, Claims Settlement, Communication, Critical Thinking, Customer Value Management, Data Privacy, Decision Making, Insurance Claims Processing, Intentional collaboration, Managing performance, Problem Solving, Risk Management, Sound Judgment, Stakeholder Management, Standards Compliance \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 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 detail-oriented and proactive Financial Operations Executive to join our growing Financial Operations team at Lendable. Reporting directly to the Financial Operations Manager, you’ll play a critical role in ensuring the accurate and timely processing of financial transactions, maintaining liquidity across our platform, and supporting the smooth running of our products. \n This is an excellent opportunity to gain broad exposure across financial operations in a fast-paced, technology-driven environment, working closely with teams across the business and contributing directly to Lendable’s continued growth. \n What you’ll do \n\n • \n Reconcile collections and repayments between our platform and bank transactions on a daily basis, ensuring accuracy and completion within defined timeframes for two of our core UK products. (40%) \n • \n Prepare and execute bank transfers and other financial transactions daily, working with multiple banking partners and ensuring strong operational controls. (20%) \n • \n Monitor liquidity levels across the platform, identifying funding requirements and supporting efficient cash management. (10%) \n • \n Collaborate closely with internal teams including Capital Markets, Data Science and Product to improve processes, resolve issues and enhance the efficiency of the finance function. (10%) \n • \n Maintain auto auction proceeds, analysing invoices and allocating costs to investors (10%) \n • \n Support product maintenance, helping ensure products remain live and operational through financial oversight, calculations and checks. (5%) \n • \n Contribute to ad-hoc projects and analysis, alongside general administrative and filing support as required. (5%) \n\n The Financial Operations team is a small, collaborative and trusted team with a broad range of responsibilities that impact the wider business. As part of the team, you will work on all products and collaborate across different departments, gaining invaluable experience with growth potential. \n What do you need to succeed in this role: \n\n • \n Hands-on experience with reconciliations (bank, cash, payments, collections, or similar) \n • \n Familiarity with executing payments / bank transfers and working with multiple bank accounts \n • \n Ability to work to daily deadlines in a time-sensitive environment \n • \n Proven track record of improving processes and delivering required outcomes. \n • \n Efficient with a high level of attention to detail and accuracy is essential. \n • \n Strong organisational skills are needed, with the ability to prioritise tasks and meet deadlines. \n • \n Capability to work self-sufficiently to identify issues and further streamline workflows. \n\n\n • \n Great communication skills, with the ability to work collaboratively with other members of the finance team and across the wider business.You’ll be energetic, and motivated and have a proactive approach with the ability to problem solve. \n • \n Proficient in Microsoft Excel and G-Suite (including Sheets). \n\n Nice-to-haves \n Experience & domain \n\n • \n 2+ years of experience in Finance, or similar role, preferably in a fintech or financial services environment. An accounting or analytical qualification is preferred but not required. \n • \n Experience in fintech, lending, payments, or financial services \n • \n Exposure to consumer credit products or loan servicing \n • \n Previous work with multiple banking partners or payment rails \n • \n Experience supporting product launches or live product maintenance \n\n Technical skills \n\n • \n Advanced Excel / Google Sheets (e.g. lookups, pivot tables) \n • \n Experience with SQL, BI tools, or data platforms \n • \n Familiarity with automation tools or process improvement initiatives \n • \n Relevant exposure to AI tooling including ChatGPT, Claude, Gemini, CoPilot etc. \n\n The interview process \n\n • \n 15 min: Mathematics focused cognitive assessment at point of application (if you have questions you can reach out directly to the Talent Partner: jessica.whiteside@lendable.co.uk) \n • \n 30 min: Screening call with the Talent Team and Hiring team \n • \n 90 min: Case Study Task \n • \n 75 min: Final stage in person interview with the Finance Operations and Finance Leadership \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 Made Tech to connect them with exceptional professionals for this role. \n Description \n \n Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. \n \n Your role at Made Tech \n \n As a Senior Data Engineer, you may play one or more roles according to our clients' needs. The role is very hands-on and you'll support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team. At other points, you might play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account. \n \n You’ll need to have a drive to deliver outcomes for users. You’ll make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. \n \n Skills, Knowledge & Expertise \n \n We are looking for candidates with a range of skills and experience, please apply even if you don’t meet all the criteria. \n\n • Enthusiasm for learning and self-development \n, • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies\n, • Gathering and meeting the requirements of both clients and users on a data project\n, • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments\n, • Owning the cloud infrastructure underpinning data systems through a DevOps approach\n, • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop\n, • Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them\n, • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines. \n, • Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)\n, • To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. \n, • Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate testing strategies (unit, integration, data quality etc.)\n, • Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.\n, • Agile practices such as Scrum, XP, and/or Kanban\n, • Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases\n, • Owning the cloud infrastructure underpinning data systems through a DevOps approach\n, • Agile practices such as Scrum, XP, and/or Kanban\n, • People skills such as mentoring, supportive team player and performing line management duties\n, • To be able to demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders \n\n \n Desirable experience \n Experience in the following things isn’t essential, but it’s highly desirable! \n\n • Working at a technology consultancy\n, • Working with Docker and virtual environments as part of the development and CI/CD process. \n, • Working with senior stakeholders to gather requirements and keep them engaged with \n, • Experience in working with a team of engineers using a variety of techniques such as pair programming or mob programming. \n, • Working with data scientists to productionise advanced data deliverables, such as machine learning models\n, • Working knowledge of statistics\n, • Working with multidisciplinary digital and technology teams\n, • Working within the public sector\n\n \n Job Benefits \n Support in applying \n If you need this job description in another format, or other support in applying, please email talent@madetech.com. \n \n We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. \n \n When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. \n \n We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from \n our blog, where we talk about mental health, communities of practice and neurodiversity \n (as well as our client work and best practice). \n \n Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you’d like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. \n Benefits \n We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. \n \n Here are some of our most popular benefits listed below: \n \n ✈️ \n 30 days Holiday \n • we offer 30 days of paid annual leave + bank holidays! \n Flexible Parental Leave \n • we offer flexible parental leave options \n ‍ \n Remote Working \n • we offer part time remote working for all our staff \n Paid counselling \n • we offer paid counselling as well as financial and legal advice. \n \n An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. \n About Made Tech \n Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. \n \n Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We’re helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we’re making it more accessible, such as children needing mental health support. \n \n All this great experience is enabling us to support new areas, like energy. We’re helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy. \n \n We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models. \n As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety of business and functional areas and will work closely with model developers and users. \n Job responsibilities \n\n • \n Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures. Perform independent testing of models by replicating or building benchmark models. \n • \n Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks. \n\n\n • \n Evaluate the risks posed by non-transparent model parameters and/or non-linear relationships, and suggest ways to mitigate such risks. \n\n\n • \n Document the model review findings and communicate them to stakeholders. \n\n\n • \n Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalate issues to ensure that their resolutions are sound and timely. \n\n\n • \n Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm. \n\n\n • \n Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. \n\n\n • \n Maintain the model inventory and model metadata for the coverage area. \n\n\n • \n Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. \n\n Required qualifications, capabilities, and skills \n\n • \n Master's or PhD in a quantitative discipline such as Mathematics, Physics, Engineering, Computer Science, Economics or Finance \n\n\n • \n Strong experience in model validation or front office in an area of electronic trading (either agency or market making) \n\n\n • \n Excellence in probability theory, stochastic processes, statistics, and numerical analysis. \n\n\n • \n Strong understanding of option pricing theory and quantitative models for derivatives. \n\n\n • \n Excellent communication skills (written and verbal) \n\n\n • \n Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately. \n\n\n • \n Proficiency in Python (NumPy, SciPy, Pandas, etc). \n\n\n • \n Curious, ownership-driven, and teamwork-oriented mindset. \n\n Preferred qualifications, capabilities and skills \n\n • \n Prior model validation or frontâoffice quant experience in pricing, risk, or electronic market making models. \n\n\n • \n Database interfacing, data management and (pre-)processing (kdb, q, SQL). \n\n\n • \n Experience of working with tensorflow and other ML packages. \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 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 At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. \n The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications. \n We are looking for an experienced data engineer that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet. \n This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably. \n What you'll do \n\n • \n Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc) \n • \n Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs) \n • \n Scope and deliver new data engineering projects in collaboration with business stakeholders \n • \n Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases \n • \n Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform \n • \n Shape the direction of our growing team and coach team members on best practices \n\n What you'll have \n\n You don’t need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus. \n • \n First and foremost, a passion for decarbonisation \n • \n Ability to work with ambiguity and own problems end-to-end \n • \n A passion for writing high quality code and building lean processes \n • \n Experience with distributed data processing \n • \n Experience with monitoring, testing, and data quality \n • \n Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints \n • \n It would be helpful to have experience/expertise/knowledge in the following: \n • \n Python \n • \n AWS \n • \n Kubernetes \n • \n Spark & distributed computing \n • \n dbt \n • \n Terraform \n • \n Data Warehousing (we use Databricks but experience with other platforms is fine) \n • \n MLOps implementation (desirable but not required) \n • \n Airflow (or other orchestration tooling) \n • \n Governance \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, • 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, • 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 Things to note \n\n • 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, • \n We use AI to help us assess applications fairly and objectively. We’re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we’re really interested in hearing your unique perspective and real-world stories. That’s the stuff we can’t get from a bot or a prompt! \n

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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The AI Solutions and Business Enablement team within the Chief Data and Analytics Office (CDAO) at JPMorgan Chase & Co. (JPMC) is seeking a dynamic and innovative Senior Product Associate to join our team. This role is pivotal in the evolution and expansion of LLM Suite, the firm's award-winning flagship GenAI capability, which is among the leading internally-developed GenAI solutions in the financial services industry globally. LLM Suite serves over 200,000 employees for general productivity and repeatable business processes, driving significant value across the firm. \n As a Senior Product Associate on the AI Solutions and Business Enablement team, you will play a crucial role in identifying priorities and solutions needed across JPMC, while managing and enhancing LLM Suite. You will focus on relationship management and strategic thinking to define solutions and product management responsibilities, ensuring the successful adoption and delivery of key features and priorities on the LLM Suite roadmap. This position offers a unique opportunity to gain expertise in AI/ML use cases and business functions, while enhancing your problem-solving, product management, analytical thinking, executive communication, relationship management, and leadership skills in a supportive environment. \n Job Responsibilities: \n\n • Collaborate with senior stakeholders and project teams to identify solutions to help execute the firm's top AI/ML use cases priorities.\n, • Support adoption and product management efforts for LLM Suite, driving the delivery of key features and ensuring alignment with strategic goals.\n, • Identify and prioritize business challenges that can benefit from AI technologies, developing analyses to drive actionable recommendations.\n, • Work closely with internal lines of business to understand their processes and workflows, shaping and refining AI strategies.\n, • Build relationships with key AI/ML stakeholders across the firm, fostering a strong network.\n, • Conduct comprehensive competitor and industry research to identify market trends and new AI capabilities.\n, • Develop and present business cases for prioritized initiatives, including scope, target solutions, staffing, and timelines.\n, • Collaborate with cross-functional teams, including Technology and Marketing, to prioritize deliverables from both business and technical perspectives.\n, • Exercise sound judgment to anticipate bottlenecks, mitigate risks, and balance business needs with technical constraints.\n, • Prepare and deliver executive communication materials, presenting analyses and recommendations to senior executives.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in AI adoption, product management or strategy consulting within a complex and dynamic environment, with a Bachelor's degree, with experience including user research, problem identification, value proposition design, and collaboration with technology partners.\n, • Proficiency in analytical techniques and tools.\n, • Strong interpersonal and influencing skills, with the ability to interact with colleagues at all levels and achieve goals without direct control over resources.\n, • Exceptional communication and presentation skills, with experience in designing and delivering target operating models and processes.\n, • Ability to identify and resolve issues with urgency, demonstrating strong teamwork and collaboration skills.\n, • Capability to define and drive a delivery roadmap, including milestone deliveries and status reporting.\n, • Flexibility to manage multiple, changing priorities independently, inspiring collaboration among diverse teams across regions and time zones.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Demonstrated strategic and commercial mindset, with strong analytical abilities and intellectual curiosity.\n, • Familiarity with LLMs, AI/ML, and technology management processes, or experience with innovative technologies such as AI, Cloud services, and Digital Products.\n, • Coding experience with Python.\n, • Degree in a STEM field preferred.\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. \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 JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans \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 Vanguard to connect them with exceptional professionals for this role. \n Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew. \n Provides expert level data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes the deepest dive analytical skillset on a variety of internal and external data. Leads, instructs, and mentors newer Data Engineering crew. \n Core Responsibilities \n 1. Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing. \n 1. Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions. \n 1. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse. \n 1. Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions. \n 1. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members. \n 1. Assesses data quality and tests code thoroughly for accuracy of intended purpose. Provides data analysis guidance and serves as a technical consultant for the client. \n 1. Educates and develops junior data engineers on the team while applying quality control to their work. Develops data engineering standards and contributes expertise to other data expert teams across Vanguard. \n 1. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production. \n 1. Participates in special projects and performs other duties as assigned. \n Qualifications \n\n • Data analytics, programming, database administration, or data management experience.\n, • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.\n\n Why Vanguard? \n Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients. \n This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments. \n It's what we stand for: value to investors. \n Inclusion Statement \n Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.” \n We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values. \n When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. \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 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 are looking for a senior software engineer with a background in stream processing. \n Our Stream Processing team is part of the Data Squad. \n We provide the tooling and infrastructure that allows Wise to process transfers in real time. Our stream processing platform enables services to do calculations and make decisions in milliseconds, powering our validation, fraud detection and anti money laundering checks. \n We also provide the services responsible for data movement into our data lake. This enables product teams and analysts to make data driven decisions. \n How we work \n We operate on a strong belief in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe. \n As we grow the Stream Processing team, we need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence. \n What will you be working on? \n You’ll be working hands on designing, architecting, implementing and operating our systems on AWS. In addition, you will also help our product engineers use our tooling and systems, laying down best practises and rules. You should have a deep understanding of stream processing and the related technologies, being able to build and support the tooling to create pipelines that are used for real time decision making in the milliseconds range. Some of the technologies we use: \n\n • \n Apache Flink \n • \n Apache Iceberg \n • \n K8s operators \n • \n Kafka Streams \n\n What do you need? \n We are fully aware that it is uncommon for a candidate to have all 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 • \n Experience with Flink and/or Kafka Streams \n • \n Experience building production code with Java and Spring. \n • \n Experience with infrastructure automation tools. \n • \n Experience building and operating distributed systems at scale. \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: £87,500 - £111,000 + 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 J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. \n Job responsibilities: \n\n • Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions.\n, • Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development.\n, • Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails.\n, • Apply context and prompt engineering techniques to improve prompt-based model performance.\n, • Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale.\n, • Build and maintain data pipelines and processing workflows for scalable, efficient data consumption.\n, • Write secure, high-quality production code and conduct code reviews.\n, • Partner with Engineering, Product, and Business teams to identify requirements and develop solutions.\n, • Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership.\n, • Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning.\n\n Required qualifications, capabilities, and skills: \n\n • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.\n, • Experience in machine learning engineering.\n, • Strong proficiency in Python and experience deploying end-to-end pipelines on AWS.\n, • Hands-on experience in system design, application development, testing, and operational stability.\n\n Preferred qualifications, capabilities, and skills: \n\n • Strategic thinker with the ability to drive technical vision for business impact.\n, • Demonstrated leadership working with engineers, data scientists, and ML practitioners.\n, • Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP)\n, • Experience with AWS and infrastructure-as-code tools such as Terraform.\n, • Experience in multi-agent orchestration. \n, • Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines.\n, • Experience with agentic telemetry and evaluation services.\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 JOB DESCRIPTION \n Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions. \n We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment. \n As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change. \n Job Responsibilities: \n\n • Design and deliver enterprise-grade machine learning systems\n, • Collaborate with cloud and SRE teams to build robust production architectures\n, • Translate scientific research into scalable ML solutions\n, • Develop and deploy business-critical, data-intensive applications\n, • Implement distributed, multi-threaded, and scalable applications\n, • Build, test, and deploy automated pipelines for ML solutions\n, • Leverage foundational libraries and services for re-use across teams\n, • Apply best practices in software engineering and computer science\n, • Utilize MLOps tools for versioning, reproducibility, and observability\n, • Align ML problem definitions with business objectives\n, • Mentor and support team members, with optional management responsibilities\n\n Required Qualifications, Capabilities, and Skills: \n\n • Experience in machine learning engineering roles\n, • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)\n, • Proven ability to develop and deploy business-critical, data-intensive applications\n, • Extensive experience with AWS and Kubernetes\n, • Proficiency with lower-level libraries such as PyTorch and NumPy\n, • Hands-on experience implementing distributed, multi-threaded, and scalable applications\n, • Experience with automated building, testing, and deployment pipelines\n, • Familiarity with higher-level interfaces like Pydantic AI and Langraph\n, • Strong understanding of computer science fundamentals and development best practices\n, • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability\n, • Ability to understand business objectives and align ML problem definitions\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience mentoring or leading teams\n, • Knowledge of agentic AI concepts\n, • Experience designing reusable libraries and services\n, • Interest in bridging scientific theory and enterprise-grade systems\n, • Passion for innovation and continuous learning\n\n Why Join Us? \n You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide. \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 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.