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Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Business Director – Marketing Science (MMM) London (Hybrid: 2 days per week in office) £85,000 base + bonus & benefits DATAHEAD is partnered with a global marketing agency at the forefront of marketing effectiveness, econometrics, and advanced analytics. This is a senior, visible role for an established Marketing Mix Modelling / Marketing Science leader who wants real influence - with clients, teams, and product direction. The Opportunity This role sits at the intersection of strategy, analytics, and client leadership. You’ll act as a trusted advisor to senior marketers, owning complex MMM and marketing effectiveness engagements while shaping how analytics is embedded into decision-making across brands. You’ll lead from the front - commercially, technically, and intellectually - while mentoring analysts and helping evolve next-generation measurement products. What You’ll Be Doing • Own and grow senior client relationships as a Marketing Science lead, • Lead delivery of MMM / econometrics and marketing effectiveness programmes, • Translate complex analytics into clear commercial recommendations, • Partner closely with strategists and media teams to influence planning and optimisation, • Design, pitch, and deliver analytics-led solutions to senior stakeholders, • Contribute to the evolution of new analytics products and tools, • Line-manage and develop junior team members, • Play an active role in team initiatives, process improvement, and revenue growth What They’re Looking For This is not a hands-off role. You’ll be credible in the detail and confident in the boardroom. Core Experience • Director-level experience in Marketing Science / MMM / Econometrics, • Agency, consultancy, or in-house marketing analytics background, • Proven track record delivering analytics projects for senior clients, • Strong commercial and consultative mindset Technical Strength • Deep expertise in Econometric Modelling / Marketing Mix Modelling (essential), • Strong R skills for analytics and modelling, • Exposure to forecasting, experimentation (A/B testing), or ML in marketing contexts, • Familiarity with Python, SQL, or Shiny is a plus (not mandatory) Leadership & Communication • Confident influencing senior stakeholders, • Excellent storytelling with data — simplifying complexity, • Experience managing and developing analysts, • Comfortable working autonomously with minimal oversight Why This Role? • Senior, visible role in a globally recognised marketing environment, • Strong emphasis on effectiveness, innovation, and product evolution, • Hybrid working (2 days per week in a London office), • £85k base with bonus and benefits, • Backed by a leadership team that genuinely values analytics

Junior Data Scientist / Junior Machine Learning Engineer (Urgent Hiring) Company: Information Tech Consultants Ltd Location: London, United Kingdom Job Type: Full-time Experience: 2–5 years Job Overview Information Tech Consultants Ltd is seeking a Junior Data Scientist / Junior Machine Learning Engineer to develop machine learning models and deliver data-driven solutions for client projects. Key Responsibilities • Analyze and work with large datasets, • Develop and deploy machine learning models, • Write scalable code using Python and SQL, • Perform data analysis, feature engineering, and model evaluation, • Collaborate with cross-functional teams to deliver analytics solutions Required Skills • 2–4 years of experience in Data Science or Machine Learning, • Strong programming skills in Python and SQL, • Experience with machine learning algorithms and data analysis, • Good communication and problem-solving skills Education Master’s degree in Data Science, Computer Science, Statistics, Mathematics, AI, or related field.

Mondrian Delta is working exclusively with a large financial services platform looking to add a talented Equity & Credit Analyst into it's public markets division. The hire will join an established platform in an exciting growth phase and play a vital part in it's expansion. The firm has made several key, cornerstone senior hires and is looking to build upon that with a Junior Analyst. The Analyst will cover public markets across a variety of sectors and encapsulate both bottom up and top down analysis. You will have exposure to a wide array of asset classes. The firm harness technology better than any other firm on the market and the potential applicant must have Python or wider coding expertise. The Analyst will come from a buy-side investing seat, sell-side research or investment banking. The firm's preferernce is for an Analyst with a quantitative degree.

I am looking to speak with qualified Pricing Actuaries for a Property Pricing Actuary position at a global (re)insurer. Reporting to the Lead Pricing Actuary, you will partner closely with underwriters and key stakeholders to deliver robust actuarial pricing support. You will develop and maintain pricing models, perform portfolio and transactional analyses, monitor performance metrics, and provide insight to support underwriting and business strategy. The Role - • Develop and enhance pricing tools and models, • Conduct portfolio, segmental and trend analyses, • Monitor rate change and price adequacy metrics, • Support underwriting teams with pricing insight and training, • Contribute to business planning, regulatory reporting and committee papers, • Maintain pricing documentation and quality assurance standards, • Collaborate with Claims, Exposure Management, Reinsurance and Data teams, • Mentor junior team members and contribute to continuous improvement initiatives The Candidate - • Qualified Actuary with pricing experience (specialty (re)insurance preferred), • Strong knowledge of actuarial/statistical pricing techniques, • Understanding of reinsurance and capital considerations in pricing, • Advanced Excel skills; VBA, Python, SQL or R desirable, • Analytical, detail-oriented and commercially minded, • Strong communicator with the ability to influence stakeholders Location - London or Birmingham (3 days a week in office) Salary - up to £120,000 If you want more information please get in contact via email -

Job Description: Overview We are seeking an experienced and highly skilled Senior Dealing Analyst / Senior Trading Operations Analyst to oversee the daily activities of our trading desk. In this role, you will ensure smooth and accurate trade execution, optimise pricing strategies, monitor real-time risk, and maintain strong communication with liquidity providers and system partners. This position requires hands-on dealing experience, deep market knowledge, and the ability to lead, mentor, and support junior team members. You will also be responsible for improving dealing procedures and supporting the business through volatile markets, system challenges, and regulatory requirements. Key Responsibilities • Execute and supervise trade execution across multiple platforms with high speed and precision., • Manage real-time risk monitoring, exposure, and hedging activities while ensuring adherence to internal risk limits., • Optimise pricing, spreads, and liquidity sourcing by collaborating with liquidity providers (LPs) and system vendors., • Lead, guide, and train junior dealers to support their performance and development., • Investigate trade discrepancies, execution delays, and technical issues; implement timely solutions., • Perform detailed trade analysis and prepare reports to support management decision-making., • Handle crisis situations effectively, including market volatility, liquidity events, and system outages., • Support compliance, regulatory reporting, and audit requirements related to the dealing function., • 3–5 years of dealing or trading operations experience in a brokerage, FinTech firm, or financial institution., • Strong knowledge of FX, CFDs, indices, commodities, and derivatives markets., • Excellent understanding of liquidity management, risk management, and pricing mechanisms., • Experience with MT4/MT5 , liquidity bridges, hubs, and institutional execution systems., • Strong analytical and problem-solving skills., • Ability to work independently and remain composed under pressure, especially during high-volatility events., • Experience leading or mentoring a small team., • Advanced Microsoft Excel skills; experience with Python or Golang is a plus., • Understanding of regulatory frameworks (FCA, CySEC, ASIC, etc.)., • Flexibility to participate in rotational shifts when required. Job Type: Full-time Ability to commute/relocate: • London SW1H 0NB: reliably commute or plan to relocate before starting work (preferred)

We’re partnering with a boutique data analytics and technology consultancy with a strong and growing footprint across UK Central Government / Public Sector Following sustained organic growth and increasing demand from major government departments, the consultancy is expanding its consulting team and seeking Azure-focused engineers with real Kubernetes experience who want to move further into consulting, solution design, and architecture. We are open to candidates at different stages of their career: from Junior/mid Level Engineers ready to step into consulting, through to experienced Senior Consultants who can lead solution design and client conversations from day one. This is not just a sys admin type of role and not a pure platform support position. It’s a delivery-focused consulting role, working closely with clients to design and implement secure, scalable, cloud-native solutions, with a clear pathway to grow into an Azure & Kubernetes Solution Architect. Why Join Us? • Join a small, fast-growing consultancy where your contribution genuinely matters, • Work on long-term, meaningful programmes, including national-scale public sector projects, • Be supported in your progression toward Azure & Kubernetes Solution Architecture, • Balance hands-on engineering with design, consulting, and technical leadership, • Avoid rigid role definitions, your responsibilities will grow with your capability What You’ll Be Doing Depending on your experience, you’ll be involved in: • Designing and delivering Azure-based data and platform solutions, • Deploying, operating, and improving Kubernetes platforms (AKS) in real production environments, • Building and supporting modern, containerised workloads, • Contributing to solution design and architectural decisions, with increasing ownership as you grow, • Working across multiple client projects, adapting to different technical and business contexts, • Engaging directly with technical and non-technical stakeholders, understanding requirements and shaping solutions, • Writing clear, high-quality technical documentation and design artefacts, • Keeping up to date with emerging technologies and best practices in cloud, data, and DevOps Who This Role Is For This role could suit you if: • You’re a Junior / Mid Level Engineer looking to move into consulting and gain exposure to solution design and architecture, • You’re an experienced Consultant or Senior who enjoys hands-on delivery but also leading technical direction, • You have practical Kubernetes experience and want to apply it in varied, meaningful client environments, • You want to move toward a Solution Architect role, rather than staying purely operational, • You enjoy variety, ownership, and working closely with clients rather than being embedded in a single internal team Essential Skills & Experience • Continuously lived in the UK for 5+years without sponsorship or visa, and eligible to obtain Government Security Clearance (SC) - MANDATORY REQUIREMENT., • Commercial experience in data engineering, cloud engineering, or platform engineering, • Strong experience with Microsoft Azure, • Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered), • Experience working with DevOps practices and CI/CD pipelines, • Coding experience (e.g. Python, SQL, R, SAS, or similar), • Experience working in secure or highly regulated environments, • Ability to work independently, take ownership, and use your initiative, • A numerate or technical degree, NVQ Level 4, or equivalent experience, • Excellent communication and stakeholder management skills Desirable (Nice to Have) • Experience migrating or modernising legacy platforms, • Exposure to SAS tools and/or SAS administration, • Familiarity with information security standards and controls, • Experience working in Agile delivery environments (Scrum, SAFe, etc.), • Previous consulting or client-facing experience Location & Travel • Remote within the UK - Very occasional travel to client site (typically once a month at most - travel expenses fully covered. Salary & Benefits • Salary range c. £55,000–£65,000, dependent on experience and level, • 12% employer pension contribution, • Up to 15% performance-related bonus, • Shared Company Bonus, • Standard company benefits in addition to above

Job Title: Senior Quality Assurance Analyst Location: London We are hiring a Senior Quality Assurance Analyst to join our Trade & Transaction Reporting (TTR) Data Quality function. This is a key role focused on ensuring the accuracy, completeness, and integrity of regulatory reporting across MiFID II, EMIR Refit, SFTR, and REMIT. Working closely with Technology, Operations, Compliance, and Change, you will play a central role in strengthening the firm’s reporting control framework and supporting ongoing regulatory initiatives. Key responsibilities: • Lead data quality control reviews across all reporting regimes, • Perform in-depth root cause analysis and drive remediation activities, • Analyse large datasets to identify trends, anomalies, and data issues, • Validate reporting accuracy using vendor platforms such as Kaizen, UnaVista, DTCC, and TradeEcho, • Design and enhance MI, dashboards, and reporting metrics, • Support regulatory change initiatives and UAT participation, • Mentor junior analysts and contribute to team capability development, • Maintain high-quality documentation and improve QA frameworks We are looking for candidates with: • Strong experience in regulatory reporting data quality (MiFID II, EMIR, SFTR, REMIT), • A solid understanding of trade and transaction lifecycles and system flows, • Hands-on experience with QA vendor platforms, ideally Kaizen, • Excellent analytical, problem-solving, and stakeholder management skills, • A strong control mindset with exceptional attention to detail Technical skills: • Advanced Excel, with strong PowerPoint and Word skills, • SQL or Python is advantageous, • Familiarity with UnaVista, DTCC, and TradeEcho You will be detail-driven, proactive, and structured in your approach, with the ability to communicate effectively across teams and maintain accuracy under pressure.

Senior Data Engineer London (2 days per week in office) £80,000 – £90,000 + 15–30% bonus] We are partnering with a prestigious financial services firm building one of the most advanced Snowflake platforms in the UK. This is a high-impact role within a modern data engineering function focused on scalable data, AI enablement, and platform innovation. You will join a growing team, working hands-on across Snowflake while helping mentor junior engineers and shape best practice across the platform. Role Overview • Build and optimise data solutions in Snowflake, • Develop pipelines using Python and SQL, • Work across Snowpark, SnowSQL, Dynamic Tables, Cortex, • Support AI use cases using Snowflake Cortex, • Ensure strong data quality and governance standards, • Mentor junior Data Engineers and support onboarding, • Contribute to testing and rollout of new platform capabilities Essential Skills • Strong hands-on Snowflake experience (deep expertise required), • Excellent Python and SQL skills, • Experience building scalable data pipelines, • Strong understanding of data quality principles, • Comfortable mentoring junior team members Desirable • Experience with Snowflake Cortex / AI features, • Exposure to financial services or financial data environments, • Understanding of financial modelling or external data products Why Apply • Work on a market-leading Snowflake platform, • Exposure to AI-driven data engineering (Cortex), • High-growth team with strong technical investment, • Opportunity to shape junior engineers and platform direction Unfortunately, this role does not offer sponsorship.

Lead Data Analyst London (Hybrid) Salary up to £65,000 This is a standout opportunity to lead end‑to‑end analytics for high‑value digital performance environments. You will shape technical strategy, drive data transformation, and act as a trusted partner to senior stakeholders, all while having real influence over the direction of the analytics function. The Company They are a fast‑growing performance‑focused organisation that combines data, technology, and marketing to deliver measurable impact. They take a modern, engineering‑led approach to analytics, building scalable data solutions and bespoke tooling that give their clients a competitive edge. With a collaborative culture and strong investment in innovation, they offer the chance to contribute to something truly high‑growth and high‑impact. The Role • Own the analytical strategy for key accounts, working closely with senior stakeholders to define roadmaps and deliver meaningful commercial insights., • Lead end‑to‑end data projects from initial scoping through to delivery, including designing data models and transformations., • Build and maintain production‑grade SQL and dbt pipelines that enable reliable reporting and analysis., • Translate complex analytical concepts into accessible insights for business leaders., • Develop compelling dashboards and visualisations that support data‑driven decisions., • Act as a senior figure in the team, setting analytical standards and mentoring junior analysts., • Partner with performance marketing teams to optimise tracking, attribution, and measurement across digital channels. Your Skills and Experience • Strong commercial experience using SQL and dbt to build robust data models., • Advanced data visualisation capability, ideally with tools such as Tableau or Looker., • Proven ability to manage clients or stakeholders, including shaping multi‑month delivery roadmaps., • Strong project management skills, with the ability to manage multiple workstreams confidently., • Good understanding of the digital marketing ecosystem, including tracking, attribution, and platforms such as Google Ads, Meta Ads, and GA4., • Comfortable translating technical concepts into clear, actionable insights., • Interest or experience in using Python for forecasting or light modelling is beneficial. HOW TO APPLY: • Apply by sending your CV to Joe by the link below

JOIN OUR JOURNEY Medialab is the UK’s leading independent media agency, and one of the fastest growing in the industry. We’re a media agency that’s made differently: purpose-led, data-driven, founder-run and proudly independent. Our entrepreneurial spirit means success is recognised and rewarded. There are no limits to what you can achieve here, which our employees agree with, evidenced by being a Campaign Best Place to Work for six consecutive years and one of The Sunday Times Best Places to Work 2025. As well as this, we’re Campaign’s Independent Agency of the Year 2024 and Media Week’s Independent Agency of the Year 2025. We are IPA Effectiveness accredited, an IPA People-First agency, and All In Champions, with industry-leading work recognised by double-gold at the 2024 IPA Effectiveness Awards for our work with Laithwaites and a 2025 Effie for our work with Alzheimer’s Society. Our independence means we can focus 100% on doing the right thing to secure success for our clients and our brilliant people. We work with a wide variety of clients including Hovis, IG, Sharps Bedrooms, SunLife, Standard Life, Ancestry, Laithwaites Wine, Save the Children, Guide Dogs, Alzheimer’s Society, RNLI and Clearscore. OUR VALUES • Commit to Doing the Right Thing (Act with integrity and accountability), • Help People Flourish (Invest in people), • Dig Deeper to Understand Better (Data driven curiosity) OUR COMMITMENT TO YOU Working at Medialab comes with lots of perks including all the usual things you would expect, such as a competitive salary package, pension, season ticket loans, cycle to work scheme, weekly social events and big summer / end of year parties. On top of that, we offer extra benefits, which make life at Medialab even more rewarding: • Time to Unwind – 22 days holiday (+ Christmas holiday closure), a day off for your birthday, holiday buying scheme, flexi-hours and work abroad scheme., • Hybrid Working – Balance between home and office. (3 days in office) We welcome requests for flexible working arrangements from the commencement of employment., • Career Growth – A meritocratic approach to progression with quarterly reviews, CPD Platinum accredited training, mentoring and leadership support., • Health & Wellbeing – Private medical insurance, health cash plan, gym discounts, wellbeing apps Mental Health First Aiders and free professional counselling., • Supporting Families – Enhanced parental leave pay, flexible working and life assurance., • Giving Back – Paid charity days and sustainability initiatives., • Perks & Rewards – Retail discounts, long-service trips and an unforgettable team culture. YOUR NEXT CHALLENGE The Data Science Engineer is a pivotal technical role focused on supporting the development of specialised software and tools that enable our Marketing Effectiveness team to deliver data driven insights to our clients. Sitting at the intersection of Data Science and Engineering within the Apollo Innovation team, this role helps drive the transition from manual workflows to automated, production-ready systems. Beyond the hands-on improvement and maintenance of our existing tools to guarantee operational stability, you will have the opportunity to contribute directly to our R&D. You will drive innovation by using your technical experience to develop in-house capabilities and solutions that directly enhance our Marketing Effectiveness proposition. HOW YOU WILL MAKE AN IMPACT • Maintain and enhance core Python modelling tools for the Marketing Effectiveness team., • Manage the migration of manual workflows into automated, production-ready software., • Develop in-house technical solutions that directly enhance the agency’s Marketing Effectiveness proposition., • Provide technical support, diagnosing and resolving complex bugs in tools and innovation products., • Liaise with analytical stakeholders to ensure technical builds directly solve domain-specific problems (MMM/Econometrics)., • Responsible for the configuration and accuracy of innovation products used in client delivery., • Produce comprehensive technical documentation and advocates for the adoption and delivery of new tools and features to the team, ensuring all system architectures are transparent, maintainable, and clearly understood., • Actively mentor Junior Engineers, providing guidance and participate in peer code reviews to ensure team-wide quality. WHAT YOU WILL BRING TO THE TEAM MUST HAVE SKILLS • Strong Python engineering skills, writing clean, modular, and production-ready code., • Data science experience, applying machine learning and statistical models for Marketing Mix Modelling (MMM) and Econometrics., • Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences., • Strong command of software development fundamentals, including version control (Git) and agile methodologies., • Proficiency in SQL for robust data extraction, manipulation, and analysis., • An academic background in a relevant field such as Computer Science or Data Science. NICE TO HAVE SKILLS • Familiarity with cloud platforms, specifically GCP (Google Cloud Platform)., • Highly capable with Microsoft Excel and the wider MS Office suite, including experience with VBA., • An understanding of deployment practices and CI/CD concepts.

Junior AI / Automation Engineer London We are working with a highly entrepreneurial investment environment building out a new real estate platform in London. They are looking for a junior / early-career AI and automation-focused hire to help create internal tools, streamline workflows, and support the team with practical AI-enabled solutions from a relatively blank sheet of paper. This is not a pure academic data science role, and it is not a standard corporate graduate seat. The opportunity is much more about ownership, practical build work, and helping shape how a lean team uses AI and automation from the outset. The role is likely to suit someone who enjoys building useful things, working closely with stakeholders, and applying AI in a practical business setting. What you’ll be doing: • Building internal tools and lightweight platforms to improve workflow efficiency, • Supporting automation across reporting, document handling, internal processes, and knowledge workflows, • Working with AI / LLM-based solutions to solve practical business problems, • Helping create bespoke internal systems rather than relying solely on off-the-shelf software, • Collaborating closely with senior stakeholders in a lean, commercially focused team What they’re looking for: • Early-career profile, likely graduate to c.1–3 years’ experience, • Strong hands-on ability with Python and practical software / automation tooling, • Interest in AI, LLMs, workflow automation, and internal tool-building, • Builder mentality — someone who enjoys creating, testing, and improving things, • Comfortable working in a more entrepreneurial, less structured environment, • Strong academic background preferred Useful experience may include: • FastAPI, React, TypeScript, Streamlit, APIs, • LLMs, RAG, agentic workflows, automation tools, • Internal tools, dashboards, workflow systems, CRM-type platforms, • AI-enabled process improvement or business automation This is a particularly strong opportunity for someone who wants genuine ownership early in their career and enjoys building practical solutions that have visible commercial impact. If this sounds of interest, please apply or get in touch directly.

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT (short for Enabing Accurate Compliance in Transaction reporting), is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success. Job Overview As a Senior Data Engineer, you will be developing our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability. What You'll Do • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse., • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership., • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark., • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments., • Implement robust data quality controls including testing, validation, monitoring, and alerting., • Drive performance optimization across Spark and Snowflake workloads., • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs., • Contribute to the continuous improvement of our development processes and tools. Must-Haves • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark., • Able to write and optimize complex SQL queries on large data sets., • Strong data modeling and warehouse design fundamentals., • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability), • Experience with modern cloud data platforms and orchestration tools., • Comfortable translating complex regulatory requirements into technical specifications., • Ability to work autonomously with a high degree of accountability for the systems you build and maintain. Nice-to-Haves • Experience with Kafka or other event streaming platforms., • Hands-on experience with AWS cloud infrastructure., • Experience building new data platforms or modernizing legacy systems., • FinTech, RegTech, or financial services background. Perks & Benefits • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access, • Life Insurance (4× salary) with Unum, • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren), • Employee Assistance Program, • Enhanced parental leave (maternity & paternity), • Professional qualification sponsorship, • Accelerated career progression based on performance, not tenure, • Holiday entitlement increases with tenure, • Flexible hours with core collaboration time, • Paid volunteering leave, • Gym & fitness discounts, • Quarterly socials, and office snacks & drinks, • Interest-based working groups to collaborate and innovate Novatus Global’s Equal Opportunities Statement Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Role: Catastrophe Modelling Analyst Industry: Insurance Location: London (2-3 x days per week) Salary: Up to £50k depending on experience About the role We are looking for a Catastrophe Modelling Analyst to join our Insurance clients Exposure Management team in London. This role plays a key part in supporting underwriting and business decision‑making through high‑quality exposure modelling, portfolio analysis and catastrophe risk insight. You will be responsible for recording and modelling exposure information across allocated portfolios, working closely with Underwriters to support the quoting and aggregation process. The role also involves supporting roll‑ups, regulatory reporting, and post‑event analysis, while contributing to ongoing improvements in data quality and modelling capability. This is a great opportunity for an analytically minded professional with experience using catastrophe models who is keen to deepen their technical expertise and progress within a collaborative, high‑performing risk function. Key responsibilities • Support Underwriting teams by leading the quoting, cleansing and aggregation service for allocated classes, • Use third‑party catastrophe modelling tools (e.g. AIR, Verisk) to model risks pre‑bind, • Produce high‑quality modelled outputs for internal and external reporting, including regulatory submissions (e.g. RDS, LCM, Aggregate Monitoring, Outwards RI), • Maintain accurate and detailed policy and exposure data within accumulation systems, • Support roll‑up processes across multiple geographies, ensuring data integrity and consistency, • Peer review third‑party model outputs and provide guidance on improvements where required, • Act as a key point of contact for offshore modelling partners, answering queries and providing ongoing guidance, • Lead training and knowledge transfer for junior analysts and outsourcing partners, • Support exposure management projects and continuous improvement initiatives, • Contribute to post‑event exposure and loss potential analysis Skills and experience • Undergraduate degree (or equivalent) in a relevant discipline such as Mathematics, Natural Sciences, Geography, Finance or Economics, • At least 1 year’s experience using third‑party catastrophe models and/or aggregation tools, • Advanced Microsoft Excel skills, • Working knowledge of SQL (R, VBA or Python desirable), • Experience with data visualisation tools (e.g. Power BI, Tableau, Pyramid) is desirable, • Strong analytical skills with the ability to interpret and explain complex data, • Well organised, proactive and able to work independently in a time‑critical environment, • Excellent communication skills, with the ability to translate technical concepts for a range of audiences If this role is of interest please apply

My client, a high-performing, data-driven hedge fund, is seeking a top-tier Graduate / Junior C# Developer to join their London-based technology team. This is a rare opportunity to join a lean, high-calibre environment where technology sits at the core of the business. The team is directly aligned to the trading function, building systems that process market data, support analytics, and enable trading decisions across fixed income markets. You will be working in a flat, agile team with real ownership from day one, contributing to a wide range of projects and actively participating in architectural discussions. The environment is fast-paced, with an iterative development cycle and weekly production releases, requiring engineers who are both pragmatic and delivery-focused. Key Responsibilities will include: • Building and enhancing high-performance systems in C# supporting trading and analytics workflows, • Developing tools for market data processing, trading infrastructure, and internal platforms, • Working across the full development lifecycle: design, implementation, testing, and production support, • Collaborating closely with traders, quants, and engineers to deliver robust, scalable solutions, • Contributing to system architecture and design decisions from an early stage The team regularly tackles complex engineering challenges, including: • State management and fault tolerance at scale, • Concurrency and race conditions, • Distributed compute and parallelisation, • Horizontal scaling and sharding, • Large-scale data processing A successful candidate will: • Have an outstanding academic background (Computer Science, Maths, Physics or similar), • Demonstrate strong experience with C# / .NET, • Possess a solid foundation in data structures, algorithms, and system design, • Show evidence of technical curiosity and extracurricular projects, • Be motivated to work in a high-performance, collaborative environment, • Exposure to financial markets (bonds, swaps, rates, FX), • Experience with Python for data or quantitative work, • Familiarity with Linux environments You can expect: • A high-impact role working directly with the trading function, • A flat structure with real ownership and responsibility, • Exposure to complex, non-trivial engineering problems at scale, • A fast-paced environment focused on continuous learning and improvement, • Highly competitive compensation and bonus structure To apply, either respond to this advert or send your CV directly to .

Associate or Senior Associate – Building Physics London About us Hoare Lea is a human-centric and planet-conscious engineering consultancy. We offer intelligent and sustainable solutions to complex design challenges for the built environment throughout the UK and further afield. We provide a wide range of engineering and consultancy services, including acoustics, air quality, building services (MEP), fire, lighting, security and sustainability to name but a few. Together, our highly skilled teams use technical expertise and problem-solving skills to bring buildings to life. We ensure that whatever the building, its design is outstanding, and its operations meet the needs of the communities it serves. We are as committed to providing an environment where everyone can realise their unique potential. So, in joining Hoare Lea, you will experience a business that enriches your knowledge, supports your wellbeing, and welcomes your individuality. You’ll have the opportunity to participate in our 9-day fortnight scheme, thriving community groups, varied social and networking events, and extensive professional and technical development schemes. We also offer an extensive benefits package, including private medical cover, an electric vehicle salary sacrifice scheme, stock options, and 25 days of annual leave (increasing with service), alongside flexible and hybrid working. Whatever your ambitions or circumstances, our aim is to enable everyone to develop their knowledge, give their best, and enjoy what they do. About the role We’re hiring an Associate/Senior Associate to join our building‑physics team working on CFD, data‑centre thermal performance and whole‑building energy modelling. You will lead and deliver modelling studies, translate results into practical design and operational guidance, and help grow our technical capabilities and reproducible workflows across the team We are looking for an experienced, client‑facing engineer with hands‑on CFD and data‑centre modelling experience plus a strong grounding in building physics (heat transfer, ventilation/HVAC optimization, dispersion and wind‑microclimate analysis, and dynamic thermal modelling). You should be comfortable setting technical standards, leading projects, mentoring colleagues, and communicating results to clients and project teams. If you meet many of the criteria but not every bullet, we encourage you to apply. It's an exciting time to join our Building Physics team. Working alongside a range of specialist engineers and consultants, you will be joining a collaborative, knowledgeable, highly engaged team who love what they do, and offer a supportive, flexible, and high performing work culture. In this key and varied role, you can expect to: • Lead data‑hall CFD studies (rack‑ and room‑scale): containment and airflow strategies (hot/cold aisles, perforated‑tile & raised‑floor flows, fan walls, in‑row/rear‑door cooling, liquid‑cooling), transient resilience/time‑to‑critical analyses, hotspot mitigation, and assessment of re‑entrainment risks from plant equipment (generators, chillers)., • Oversee production CFD across sectors (Residential, Science & Research, Workplace): set meshing and solver standards, enforce convergence and QA/QC practices, and recommend higher‑fidelity approaches (e.g., LES) where justified., • Evaluate HVAC and ventilation strategies: model ventilation effectiveness and control strategies to improve thermal comfort, air distribution and energy performance., • Execute dispersion and wind‑microclimate studies: contaminant transport and tracer‑gas approaches, pedestrian wind comfort/safety assessments (Lawson criteria, City of London guidance), and interaction with site plant., • Integrate local CFD findings into whole‑building energy model., • Build and maintain automation and parametric workflows (Python; Rhino + Grasshopper/Ladybug/Honeybee), creating reusable components and batch‑run pipelines for scenario studies., • Define and implement model validation and uncertainty approaches: calibration, sensitivity analysis and reporting., • Provide technical leadership: review deliverables, mentor junior staff, support proposals and client presentations, and ensure projects are delivered on scope, schedule and budget., • A collaborative mindset, with the self-awareness and openness to work effectively within multi-disciplinary teams., • Support timely invoicing, debt chasing, management of WIP and forward workload/resource planning for your own projects., • Mentor and support our ‘next gen’ professionals including apprentices and graduates. About you To be successful in this role you’ll need: • BSc or MSc in Mechanical Engineering, Building Science, Thermal/Fluid Engineering, Physics, Mathematics, CFD or similar (or equivalent practical experience)., • Demonstrable CFD experience; data‑centre project experience is highly desirable., • Hands‑on experience with two or more CFD platforms (e.g., ANSYS Fluent/CFX, OpenFOAM, Star‑CCM+, Cadence DC) and meshing tools., • Practical experience in data‑centre thermal modelling (rack/room CFD, containment, transient resilience analyses)., • Experience into energy modelling tools like IES‑VE, TAS, EnergyPlus / OpenStudio)., • Automation skills: Python for scripting and data work; Rhino + Grasshopper and Ladybug/Honeybee for parametric workflows., • Strong communication and client‑facing skills; experience writing technical proposals and presenting to clients., • Ability to create clean, watertight geometry in Rhino, SpaceClaim or similar., • Commercial awareness and accountability, • A commitment to supporting the development of others Desirable: • Roles in data centre consulting and close collaboration with MEP teams., • Experience with LES and transient high‑fidelity studies for targeted investigations., • Familiarity with 1D flow network modelling for liquid‑cooling strategies., • Exposure to wind‑tunnel validation for CFD (boundary‑layer reproduction, instrumentation data processing, and CFD‑to‑experiment comparison)., • Professional registration (CIBSE or equivalent) or progressing toward registration. How to apply To apply simply complete a CV profile and submit your application, or for further information please contact . If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process. Adjustments and accommodations If there are adjustments or accommodations that we can put in place to help you participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence or anything else) please let us know. Data privacy We have updated our terms and conditions for candidates, click here to find out more. Recruitment agencies We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list. #LI-HYBRID

About Us Hartree Partners is a global energy and commodities firm, founded in 1997. The firm is headquartered in New York and maintains offices in many financial centers around the world including London, Singapore, and Dubai. Hartree Partners LP is owned by the company’s Managing Partners, senior staff, and Oaktree Capital. Energy is always evolving. At Hartree Partners, we use our decades of experience in the physical and financial energy and commodities markets to explore the opportunities this evolution provides. We assist our customers in participating in new markets and navigating their complexities for maximum revenues at minimum risk. We provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments and individuals. Find out more about us by visiting our website at: Job Summary Hartree Partners is seeking a Trading Assistant on our Metals Trading team in London. This is an exceptional opportunity for a motivated junior with middle or back office experience to gain exposure to the metals markets within a dynamic global trading environment. The successful candidate will work closely with traders, originators, and other analysts to support commercial decision-making through market analysis, data management, and performance reporting. The ideal candidate will demonstrate strong analytical ability, attention to detail, intellectual curiosity, and a genuine interest in global commodities markets. Duties & Responsibilities • Sit directly on the trading desk alongside senior traders, gaining real-time exposure to risk-taking, position management, and market flow across global metals markets., • Own the trade lifecycle from your seat — book trades, manage confirms, and coordinate with middle office to keep the book clean and P&L accurate., • Build, maintain, and sharpen the desk's internal models, databases, and dashboards, • Push the frontier on AI/LLM integration: automate repetitive workflows, accelerate research pipelines, and build tools that give our desk an edge., • Produce daily and weekly market intelligence — concise, high-signal reports on price action, spreads, regional dynamics, and macro drivers, • Support live trading with ad hoc analysis: pricing structures, spread relationships, arb opportunities — whatever the desk needs, fast., • Liaise across middle and back office to ensure trade data, exposure reporting, and performance attribution are bulletproof., • Develop deep market knowledge across base metals, precious metals, and the macro landscape — geopolitics, supply chains, central bank policy — everything that moves markets. Education & Experience • Degree in engineering, mathematics, economics, finance, computer science, or a related quantitative field, • Experience in commodities, trading, or a market-facing analytical role preferred, but not essential, • Strong Python experience applied to real-world data analysis and tool building, • Advanced Excel skills for practical trading desk use

Main purpose of job: To design and develop modern cloud native software solutions using C# as a core, with a strong focus on AWS services and Python development. As part of a small, agile team, you will take ownership across the full software lifecycle — from requirements gathering and solution architecture to development, deployment, and operational support. You will play a key role in building and maintaining AWS based applications, automated CI/CD pipelines, and infrastructure as code deployments. Key tasks: • Develop web front-end and back-end applications using .NET and Python., • Write clean, maintainable, and efficient code across multiple languages., • Integrate internal and external systems, leveraging AWS tools (e.g., Lambda, Step Functions, API Gateway) and develop services to bridge differing platforms, • Maintain and support existing applications by monitoring performance, identifying issues, and implementing fixes or enhancements., • Work with business stakeholders to collect and document requirements, produce user stories, and estimate delivery effort., • Write test-driven code and implement automated testing within CI/CD pipelines., • Stay current with AWS innovations and evaluate new cloud technologies for relevance and potential adoption., • Collaborate with colleagues on software design, cloud architecture, and operational best practices., • Continuously upgrade your technical skills through training, certifications, reading, and hands-on experimentation with new tools and platforms., • Work closely with very small or ad hoc cross-functional teams, including designers, testers, and data engineers., • Make significant contributions to promote team collaboration and strengthen team member accountability. Mentor and manage junior members of the team. Key personal skills required: • Strong problem-solving capability with the ability to learn rapidly and work autonomously, • Good analytical, mathematical and organisational skills., • Drive and ambition to work in a delivery orientated environment., • Positive attitude and proactive mindset., • Adaptability and willingness to embrace change and new technologies. Key technical skills, knowledge and professional qualifications required: • Strong experience developing software in Python (Essential), C# (Essential) and using Visual Studio/DevOps/Git., • Experience with Infrastructure as Code (Terraform or AWS CloudFormation)., • Understanding of software development methodologies and architectural concepts (e.g., microservices, event-driven architectures, dependency injection, MVC/MVVM)., • Knowledge of relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB)., • Experience with scripting languages (PowerShell/Bash)., • Some scripting language skills. (PowerShell/bash), • Experience with multithreading, LINQ, Blazor. (Desirable), • Insurance or financial services industry knowledge is advantageous. Risk and Compliance Responsibilities • Ensure compliance with company and other relevant standards and regulations., • Ensure compliance with relevant PRA and FCA conduct rules., • Carry out all regulatory responsibilities assigned as part of employment., • Meet FCA/PRA prescribed responsibilities where applicable, as defined in any current Statement of Responsibilities., • Ensure compliance with assigned risk management responsibilities.

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

Junior Quant Developer – Multi-Strategy Systematic Trading Location - London (or NYC) A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front-office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: • Develop and enhance high-performance trading systems., • Optimise execution algorithms for systematic trading., • Contribute to research and simulation frameworks. Key Requirements • Bachelor's degree in Computer Science or closely related field, • Interesting internship(s) within trading, • Proficiency in C++ or Python (the firm’s tech stack includes both)., • Strong problem-solving and analytical skills., • Ability to work in a fast-paced, collaborative environment. This opportunity offers a competitive compensation package and hybrid working model.

Doris Group UK are looking for a Junior Structural Engineer. As a leader in Engineering, advisory and project management for energy, the mission is to make conventional energies cleaner and make renewable and new energies possible. As a Junior Structural Engineer, you’ll support the design and analysis of offshore structures across a variety of energy projects. With a strong focus on safety, quality, and innovation, we work collaboratively across multidisciplinary teams to deliver reliable and efficient power and control systems. This is an exciting opportunity to join a team shaping the future of energy systems, particularly within the renewable and offshore wind space. What you'll do • Assist in the design of offshore structures for renewable and conventional energy projects, • Apply modern analysis and design methodologies to real-world engineering challenges, • Support the development of environmental loads (wind, wave, marine conditions) from source data, • Contribute to in-service assessments such as fatigue, seismic, boat impact, and in-place analysis, • Assist with pre-service assessments including transportation and lifting studies, • Develop an understanding of installation methods and fabrication processes, • Carry out finite element analysis using industry-standard software (e.g. SESAM, SACS, STAAD.Pro, ANSYS, ABAQUS), • Support the preparation of engineering models, calculations, and technical reports, • Participate in technical discussions and project meetings, • Collaborate within multidisciplinary teams to deliver projects on time and within budget, • Ensure work is performed in line with internal procedures and industry standards, • Contribute to continuous improvement, including automation of tasks through programming where possible What you'll bring We’re looking for a motivated and curious engineer with a passion for offshore structures and problem-solving. You’ll ideally have: • A degree (BEng, MSc, or PhD) in Civil, Structural, or a related engineering discipline, • A strong interest in offshore engineering, marine environments, and renewable energy, • An analytical mindset with the ability to break down complex problems and develop solutions, • Eagerness to learn new tools, technologies, and finite element analysis methods, • Some familiarity (or willingness to learn) structural analysis software such as SESAM, SACS, STAAD.Pro, ANSYS, or ABAQUS, • Awareness of offshore design standards, regulations, and industry practices (desirable), • Basic programming or automation skills (e.g. Python) are advantageous, • Good understanding of physics as applied to structural and marine environments Soft skills and behaviours: • Strong written and verbal communication skills, • Detail-oriented while maintaining awareness of the bigger picture, • Positive, collaborative team player, • Self-motivated with the ability to work independently when required, • Results-driven with the ability to meet deadlines, • Open-minded, with confidence to express and defend engineering judgement, • Strong IT literacy and commercial awareness Why join us? This is a fantastic opportunity to work on high-impact, forward-looking energy projects while developing your expertise in a collaborative, hybrid working environment. You’ll be part of a passionate team contributing to cleaner energy solutions and safer industrial operations.

numi have once again partnered with a leading player in alternative asset management is reshaping the treasury function. With cutting-edge technology and a seasoned team of industry experts, this company aims to reduce financing costs and optimize return metrics. Who We're Seeking: • We're on the lookout for a seasoned Associate to Mid-level Software Engineer with hands-on Python experience., • Familiarity with AWS Serverless and related technologies would be advantageous., • Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential., • If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven architectures, you'd fit right in. What You'll Do: • Spearhead core capabilities for Client Onboarding Value Stream., • Bring to life our loosely-coupled event-based architectural vision., • Elevate user experiences and process-based outcomes., • Mentor junior team members and contribute to collective growth. Process: • Zoom call with the technical lead (60 mins): Discuss your career journey and skills., • Face-to-face session with the team (90 mins): Collaborate on an exercise, showcasing your skills and working style., • Zoom calls with the executive team (30 mins each): Explore industry insights and the company's role. Interviews are kicking off & we are shortlisting candidates for this position, if this sounds like something that would suit your experience. Apply now!

Senior Platform Engineer Salary: £200-250k Package Location: London (Hybrid working – 3 days in office per week) I’m currently working with a Tech-Driven Hedge Fund undergoing a major technology transformation who are looking for a Platform Engineer with a breadth of experience across cloud, software and security engineering. Reporting into the Head of Engineering, this is a pivotal role in building out a brand new Cloud Platform for the entire organization, and an infrastructure capable of servicing and housing all departments ranging from Quants to Cyber to Risk. This is genuinely an incredible opportunity to join a small, close-knit team of incredibly skilled Engineers and build a platform and infrastructure which will shape how an entire organization can operate; for one of the most innovative Investment Management firms worldwide. Responsibilities • Design and build the platform and infrastructure on which the organization can operate at speed and scale., • Advise and provide vision on the overall architecture of the platform and its capabilities., • Work closely with wider departments to understand their requirements and how this platform can enable them., • Act as a mentor and escalation point to the more junior members of the team. Requirements • A software engineering background with the ability to build and develop robust and secure cloud infrastructures., • Thorough knowledge of AWS and building platforms subject to financial regulatory requirements., • In-depth cyber security experience and building platforms/infrastructure with security built in at code level., • Expert level knowledge of Terraform, Python and open-source databases (Postgres & Clickhouse a bonus), • Experience working in fast-paced, top tier financial institutions. If you’re an experienced Platform Engineer looking to join a Hedge Fund undergoing one of the most exciting Transformation journeys where you’ll be afforded the trust and freedom to build and develop one of the most innovative cloud Platforms; then click apply or get in touch directly –

Key Points • Lead Python Engineer position, • Property Managing AI Solution – Start Up, • For a Technical Leader who enjoys building scalable backend systems with a passion for AI innovation, • Career path into a Head of Engineering / CTO role About The Company • Seed funded, • AI solution for Property Management sector, • End to end automation removing all administrative tasks for commercial and residential property businesses, • London HQ About the Role • Architect and build scalable backend systems and APIs using Python., • Develop and optimise data pipelines for performance, reliability, and scalability., • Work closely with AI, Product, and Design teams to deliver intelligent software solutions., • Drive integration of AI and automation into core platform workflows., • Write, review, and maintain clean, testable, production-grade code., • Contribute to technical architecture and engineering best practices., • Mentor junior engineers and help shape a high-performing engineering culture. About the Candidate • 5 - 10 years of software engineering experience, ideally within AI, SaaS, or automation platforms., • Strong experience building backend systems in Python., • Experience with frameworks such as FastAPI, Flask, or Django., • Experience working with APIs, data pipelines, and scalable systems., • Familiarity with cloud infrastructure and microservices architectures., • Experience with Git, CI/CD, and modern development workflows., • Previous experience mentoring engineers or leading projects is desirable. About the Package • Extremely competitive package in excess of £100K + Equity on offer

Senior Verification Engineer UK Remote I am seeking a Senior Verification Engineer to join an established and fast-growing startup as it enters its next phase of growth. With a team of nearly 100 people, this company is at the forefront of post-quantum cryptography, developing security-critical technologies with global impact. You will play a key role in verifying highly secure designs, working closely with experienced engineers in a collaborative, high-trust environment. What you’ll be doing As part of the verification team, you will: • Build and extend UVM testbenches to verify cryptographic IP and subsystem designs, • Develop Python-based tools and automation to improve verification efficiency and productivity, • Influence and define verification methodologies and strategies, • Architect testbenches using UVM and formal-based approaches, • Define verification plans, functional coverage models, and test strategies at block and subsystem level, • Lead verification for IPs or subsystems, including effort estimation, scheduling, task allocation, and progress reporting, • Drive coverage closure and sign-off quality across complex designs, • Mentor junior engineers and help raise the overall capability of the team Required experience Must have: • Strong background in UVM-based verification at IP and subsystem levels, • Proven experience building UVM testbenches from scratch, • Proficiency in Python for verification automation, • Solid experience with SystemVerilog Assertions (SVA), • A minimum of 4 years experience. What’s on offer • Competitive base salary plus share options, • Opportunity to help build something from the ground up in a growing, mission-driven company, • Fully remote role (must be based at a UK address), • Visa sponsorship available This role will suit someone who thrives in small, collaborative teams, communicates clearly, and is passionate about delivering high-quality verification for security-critical systems.

Cyber Engineer • Contract Duration: 12 months, • Location: London or Sheffield (Hybrid - 2 days a week onsite), • Job Type: Contract We are seeking an experienced Cyber Engineer to join a prestigious UK-based organisation with a rich history spanning over 500 years. This role involves providing deep technical expertise in Microsoft Sentinel, Azure security infrastructure, networking, and security tooling. The successful candidate will play a crucial role in stabilising, improving, and standardising security operations. Day-to-day of the role: • Design, implement, and support Microsoft Sentinel infrastructure, including workspaces, data connectors, analytics rules, automation, and workbooks., • Engineer and maintain Azure security controls across core services, supporting secure cloud operations at enterprise scale., • Implement, enhance, and maintain security tooling to improve detection, monitoring, and response capabilities., • Design, deliver, and support certificate automation solutions, including lifecycle management and operational processes., • Work closely with networking teams to support secure architectures, traffic flows, segmentation, and connectivity patterns., • Actively support and participate in change approval processes, ensuring security requirements are met without impacting delivery timelines., • Provide senior-level support for BAU security engineering activities, ensuring stability and resilience of security platforms., • Act as an escalation point for complex technical issues and incidents across cyber tooling and infrastructure., • Mentor and support junior cyber engineers, progressively enabling them to take ownership of BAU tasks. Required Skills & Qualifications: • Strong hands-on experience with Microsoft Sentinel, including infrastructure and configuration., • Solid Azure platform experience, particularly from a security and infrastructure standpoint., • Strong networking background, including understanding of network security principles, firewalls, VPNs, routing, and segmentation., • Experience with a range of security tools (SIEM, monitoring, detection, and response platforms)., • Proven experience delivering and supporting certificate automation., • Experience operating in enterprise or regulated environments., • Comfortable working across project delivery, change processes, and BAU support., • Confident making pragmatic, risk-based security decisions. Nice-to-Have / Desirable: • Experience working alongside SOC or security operations teams., • Scripting or automation experience (e.g., PowerShell, Python)., • Exposure to DevSecOps or Infrastructure-as-Code., • Experience supporting third-party vendors or managed security services. Personal Attributes: • Pragmatic, delivery-focused approach to security engineering., • Comfortable acting as a senior point of reference across security, change, and delivery., • Able to clearly explain technical decisions and trade-offs to engineers and stakeholders., • Strong sense of ownership and accountability. To apply for this Cyber Engineer position, please submit your CV detailing your relevant experience and why you are interested in this role.

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

AI Startup in London – Hiring Junior-Mid Level Full-Stack Engineers (Senior) – 5 days a week on-site – up to £110k I am working with a rapidly growing AI startup based in London, building next-generation products that transform how businesses use technology. They are looking for highly talented engineers who are ambitious, driven, and eager to make an impact. Roles Available: 🔹 Full-Stack Engineer – Strong expertise in TypeScript, React, Python and Golang. They can consider someone who its more frontend, or backend leaning, but the expectations is to work across the stack and pick up languages that you are not familiar with. What We’re Looking For: ✔️ A degree from a top university in Computer Science, Engineering, or a related field ✔️ Demonstrated ambition and drive, reflected in career achievements and working history ✔️ Ability to thrive in a fast-paced, collaborative startup environment ✔️ Commitment to on-site work in London, 5 days a week If you are passionate about building cutting-edge products and want to work alongside ambitious colleagues in central London, please apply. AI Startup in London – Hiring Junior-Mid Level Full-Stack Engineers (Senior) – 5 days a week on-site – up to £110k

Treliant is a global consulting firm serving banks, mortgage originators and servicers, FinTechs, and other companies providing financial services. We are led by practitioners from the industry and the regulatory community who bring deep domain knowledge to help our clients drive business change and address the most pressing compliance, regulatory, and operational challenges. We provide data-driven, technology-enabled advisory, implementation, and staffing solutions to the regulatory compliance, risk, financial crimes, and capital markets functions of our clients. Founded in 2005, Treliant is headquartered in Washington, DC, with offices in New York, London, Belfast, and Łódź. For more information visit . Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Responsibilities While the scope of each project may be different, your duties & responsibilities may include: • Working with global clients ingesting large volumes of high frequency time series data, • Working with business users to define application requirements and deliver new functionality, • Involvement in all aspects of SDLC – planning, creating, testing, and deploying software solutions, • Analyzing data and delivering concise insights to business users, • Working as part of a team to deliver solutions, • Assisting in training of junior developers, • Taking ownership of critical activities, • Strong educational background – Degree (Masters would be an advantage), • 2+ Years using KBD+ to develop software, • Experience with Unix environments, • Demonstrated client experience and track record developing software solutions, • Good knowledge and experience with SDLC, including design, architecture, developing code, testing, and deployment, • Experience with tick architecture, large scale data capture and data analysis, • Ability to write clean and efficient code, • Experience in other languages like Java, C++ or Python, • Excellent communication skills across all levels of seniority, • Strong interpersonal skills, with good relationship building and engagement skills Benefits If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. Career Development - We put an emphasis on personal and professional growth by providing all the training you’ll need to become a highly skilled Treliant consultant. Programs cover Finance, Regulatory, Technology, and Operational aspects of investment banking. Clients – As a Treliant consultant, you will be working with some of the top clients in the financial services marketplace such as top tier Investment Banks. Our roles place you at the cutting edge of the projects on which you’ll be working, and giving you the opportunity to learn from, work with and build relationships with the very best within those companies. Rewards – Treliant offers our permanent staff an excellent total rewards package, including competitive base salary, incentive schemes, flexible healthcare coverage and our company pension scheme. Core Values – Whether you are a Client or an employee, Treliant wants the best for you. All our relationships are based on our Core Values: Deliver Excellence, Constantly Innovate, Treasure Diversity, Be Nimble, Listen First, and Develop our People. Diversity & Inclusion – Treliant is committed to fostering a diverse, equitable and inclusive environment that values and embraces all races, religions, ages, abilities, gender, sexual orientations, ethnicities, languages, nationalities, political parties, socioeconomic groups and other characteristics that inform an individual worldwide view and experiences and systems of beliefs (“the principles”). We believe in championing every voice and ensuring everyone’s full potential. Right to Work Treliant is not in the position to provide sponsorship for this current position and so applicants must be able to work in the United Kingdom without requiring sponsorship. Please note, Treliant receive a high volume of applications for all roles. While we will endeavour to respond to all applicants, this is not always possible. Should you not receive a response to your application within 2 weeks, it is likely that you have been unsuccessful on this occasion. However, we would like to retain your details on our systems and may contact you should another potentially suitable vacancy arise. Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, colour, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.

Senior Economist - Competitive Salary - London, United Kingdom (hybrid) Our client is an independent economic consultancy specialising in public policy, economic evaluation and evidence-based decision making. The firm works with a broad range of organisations including government departments, public bodies, charities and private sector organisations, helping them understand complex economic challenges and design more effective policy interventions. The team applies rigorous economic analysis to some of the most pressing social, environmental and economic questions facing policymakers today. Their work spans areas such as economic growth, productivity, sustainability, social outcomes and public sector investment. As the consultancy continues to expand its analytical capabilities, they are seeking to appoint a Senior Economist to contribute to high-impact policy projects and lead complex economic analysis across a diverse portfolio of engagements. Role The Senior Economist will play a key role in delivering economic analysis and policy insight across multiple projects, with particular emphasis on economic appraisal, cost-benefit analysis and programme evaluation. This position involves leading analytical workstreams, engaging directly with clients and stakeholders, and helping shape the direction of projects from design through to delivery. The role also offers the opportunity to mentor junior team members and contribute to the continued development of the consultancy’s analytical practice. Key Responsibilities • Contribute to economic analysis across a range of policy, appraisal and evaluation projects, • Support the development of economic appraisal and evaluation approaches, including cost-benefit analysis and impact assessment, • Apply quantitative techniques such as econometrics and quasi-experimental methods to analyse policy and economic questions, • Translate analytical findings into clear insights for a range of audiences, including non-technical stakeholders, • Assist with project delivery, helping to ensure work is completed to a high standard and within agreed timelines, • Contribute to proposals and business development activities where appropriate, • Work collaboratively with colleagues and engage with clients and stakeholders as part of project teams, • Support the development of research, analysis and written outputs across multiple engagements Key Skills • Experience applying economics in a consulting, public policy, government, research or analytical environment, • Knowledge of economic appraisal, cost-benefit analysis and policy evaluation approaches, • Experience using quantitative tools such as Excel, R, Python or Stata for data analysis or modelling, • Strong written and verbal communication skills, with the ability to explain analytical concepts clearly, • Good organisational skills and the ability to contribute effectively to multiple projects, • An interest in public policy and the economic issues shaping government decision-making, • A postgraduate qualification in economics or a closely related discipline Key Benefits • Competitive salary and overall compensation package, • Hybrid working arrangements to support work–life balance, • A collaborative and supportive team culture, • Opportunities to work on meaningful, policy-relevant projects with real-world impact, • Ongoing professional development and clear progression opportunities, • An intellectually stimulating environment within a growing consultancy This is an excellent opportunity for an experienced economist to join a growing consultancy working at the intersection of economics, public policy and data-driven insight. The role offers exposure to meaningful policy challenges and the chance to contribute to work that shapes real-world economic outcomes. Please apply below for a confidential discussion to learn more. By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.

Senior Data Scientist – Core Products About the business: At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. About the Team: Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium. Our environment supports autonomy, learning, and inclusive collaboration, with an emphasis on delivery at pace. About the Role: The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. Effective communication with stakeholders is essential, ensuring that business requirements are clearly translated into technical solutions. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities. Responsibilities: • Hands-On Development - Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach., • Mentorship - Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices., • Collaboration - Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy., • Communication & Business Application - Communicate complex analytical concepts clearly to non‑technical stakeholders, including senior leadership, focusing on business outcomes., • AI Adoption - Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams., • Leadership & Ownership - Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment. Requirements: • Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives., • Excellent Python and SQL skills., • Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production., • Data engineering skills, with the ability to manipulate and process data at scale., • Curiosity to explore and delve into emerging capabilities with a clear link to commercial value., • Highly self-directed, capable of managing tasks, projects, and stakeholders independently., • Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles., • Demonstrated track record of implementing and fine-tuning LLM/AI workflows., • Strong competency leveraging Gen AI in your daily tasks to speed up efficiency., • Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers., • Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable. Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Generous holiday allowance with the option to buy additional days ● Health screening, eye care vouchers and private medical benefits ● Wellbeing programs ● Access to a competitive contributory pension scheme ● Save As You Earn share option scheme ● Travel Season ticket loan ● Electric Vehicle Scheme ● Optional Dental Insurance ● Maternity, paternity and shared parental leave ● Employee Assistance Programme ● Access to emergency care for both the elderly and children ● RECARES days, giving you time to support the charities and causes that matter to you ● Access to employee resource groups with dedicated time to volunteer ● Access to extensive learning and development resources ● Access to employee discounts scheme via Perks at Work

Job Title: Junior Data Quality Analyst Location: London We are hiring a Data Quality Analyst to join our Trade & Transaction Reporting (TTR) team. This is an excellent opportunity to develop a career in regulatory reporting data quality, with exposure to end-to-end processes across MiFID II, EMIR Refit, SFTR, and REMIT. You will work closely with senior analysts and gain hands-on experience in monitoring, validating, and improving reporting data. Key responsibilities: • Support daily and weekly data quality checks and exception monitoring, • Assist with root cause analysis and remediation tracking, • Produce MI reports, dashboards, and trend analysis, • Validate reporting outputs using platforms such as Kaizen, UnaVista, DTCC, and TradeEcho, • Participate in UAT and document test results, • Maintain procedural documentation and support process improvements We are looking for candidates who: • Have strong analytical and numerical skills with an interest in working with data, • Are highly organised with excellent attention to detail, • Communicate clearly and work effectively within a team, • Are proactive, curious, and eager to learn Technical skills: • Excel, Word, and PowerPoint, • SQL or Python is beneficial but not required, • Exposure to regulatory reporting or vendor tools is advantageous This role offers a clear development path within a growing data quality function and provides strong exposure to regulatory reporting frameworks.

Our client, a highly respected, prestigious hedge fund with best-in-class performance, training, business exposure and compensation, are looking to hire a junior into their London based operations team. The role will cover clearing, collateral management, managing prime broker relationships, trade life cycle management and it will have a core project work component. The hire will be given lots of autonomy and responsibility to build, run and manage key projects within the hedge fund – process improvement / automation skills using Python, VBA, SQL or Alteryx are required for this role. Despite this being a junior position / the ideal experience level being 2-4 years of experience, the role pays a significantly higher compensation than competitors will pay an analyst. The total compensation for the role in year one will be between £100-150k alongside excellent benefits and career progression opportunities. A sign on bonus (for anyone missing out on an end of year bonus) will be offered.

We are partnering with a leading systematic investment team in London seeking an exceptional early-career Quantitative Researcher to join a high-performing, research-driven environment. This is a rare opportunity to work directly alongside experienced portfolio managers and researchers, contributing to live trading strategies from the outset. The team operates at the intersection of data science, financial theory, and advanced engineering, with a strong emphasis on original thinking and rigorous experimentation. The Opportunity From day one, you will be immersed in the research lifecycle—helping to generate, test, and refine alpha signals across liquid global markets. The role is designed for individuals who combine strong academic foundations with a genuine curiosity for markets and data. You will: • Develop and evaluate predictive signals using large, complex datasets, • Design and run robust backtests across multiple asset classes and time horizons, • Explore new modelling approaches, including statistical and machine learning techniques, • Work closely with senior researchers and developers to translate ideas into production, • Contribute to improving research infrastructure and data workflows Who They’re Looking For This role targets high-potential junior talent ready to step into a front-office research environment. You should meet one of the following criteria: • A Master’s graduate (from a leading/red-brick university) with relevant internship experience in quant research, trading, or data science, • Strong grounding in mathematics, statistics, physics, computer science, or a related field, • Proven programming ability (typically Python; C++ or similar is a plus), • Experience working with data—cleaning, analysing, and extracting signal, • A methodical, research-oriented mindset with attention to detail, • A genuine interest in financial markets and systematic trading Why This Role • Direct exposure to live trading strategies from an early stage, • Highly collaborative, intellectually rigorous team culture, • Meritocratic environment where strong ideas are quickly recognised and implemented, • Clear progression into a long-term research career within systematic investing Additional Requirements • Ability to start no later than September 2026, • Right to work in the UK (or ability to secure it quickly)

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

Pricing Analyst London, £40,000 to £45,000 plus benefits A great opportunity to join a high‑impact pricing function where your analysis will directly shape commercial strategy. This role is ideal if you enjoy using Python and data-driven thinking to influence decisions in consumer finance. The Company They are a data-led consumer finance organisation with a strong analytical culture. The pricing team plays a key role in how they set strategy, working closely with risk, product, and commercial stakeholders. You will join a supportive environment with room to grow and take ownership. The Role • Optimise pricing strategies and deliver clear, actionable insights., • Build and maintain unit economics and cashflow models., • Support pricing tests, performance monitoring, and scenario analysis., • Contribute to commission strategy and commercial decision making., • Present findings to teams across the business and support junior analysts. Your Skills and Experience • Strong analytical capability and commercial awareness., • Confident using Python, SAS or R for analysis; SQL beneficial., • Experience in pricing, credit risk, or consumer lending analytics., • Ability to turn complex data into clear narratives and recommendations. What They Offer • £40,000 to £45,000 plus benefits including bonus and pension, • Hybrid working with flexibility and strong team exposure., • A role with real ownership, visibility, and technical development.

Senior Data Engineer Location: London (Hybrid) Function: Data Engineering / Data Platform Salary: Up to £140,000 base + bonus + benefits About the Role Our client is a global commodities and energy trading firm operating at the intersection of quantitative research, technology, and trading. Following the recent acquisition of a major energy trading and technology business, the firm has significantly expanded its capabilities in renewable power optimisation, analytics, and physical gas trading across international markets. They are now hiring a Senior Data Engineer to join their Technology Data, AI & UX team in London. This team sits close to the trading floor and is responsible for building the data infrastructure that supports traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly with front-office stakeholders and translating trading requirements into robust data solutions. What You’ll Be Doing • Building and maintaining high-performance data pipelines ingesting structured and unstructured datasets from a variety of internal and external sources., • Developing ingestion processes including scrapers, ETL pipelines, crawlers, streaming jobs, and services., • Cleaning, transforming, and enriching datasets to ensure high quality and usability across analytics and trading use cases., • Designing storage solutions across data lakes, databases, and analytical warehouses., • Delivering data internally via APIs, Python libraries, and direct database access., • Maintaining and optimising existing pipelines and databases used by trading and analytics teams., • Supporting data scientists and quantitative teams by enabling access to cloud resources, datasets, and internal Python tooling., • Contributing to the automation of post-processing tasks including prediction pipelines and visualisation workflows., • Collaborating directly with traders and front-office teams to develop data solutions for real-time analytics and trading decisions., • Maintaining documentation and knowledge bases around data sources, architecture, and pipelines. Ideal Background The successful candidate will bring strong hands-on data engineering experience and the ability to operate in a front-office, commercially focused environment. Core experience required: • Strong Python development, particularly for data ingestion, crawling, parsing, and transformation., • Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms., • Experience building production data pipelines in AWS cloud environments., • Familiarity with Docker containers and CI/CD pipelines., • Experience with Infrastructure as Code and deployment tooling such as CloudFormation or CDK., • Strong understanding of data pipeline design, performance optimisation, and data quality practices., • Experience working directly with front-office stakeholders such as traders, quants, or analysts., • Exposure to commodities, energy trading, or financial markets., • Experience supporting real-time or near-real-time analytics environments., • Knowledge of additional AWS services such as S3, Lambda, Athena, Kinesis, EMR, Fargate, or API Gateway., • Experience with big data technologies including Spark, Databricks, Hadoop, or Dask., • Familiarity with data visualisation tooling such as Plotly., • Experience mentoring junior engineers or leading technical initiatives. What You’ll Receive • Base salary up to £140,000 depending on experience., • Participation in a performance-based discretionary bonus scheme., • 25 days annual leave plus public holidays., • Comprehensive benefits including private medical, dental, life insurance, and strong pension contributions., • Access to training and development programmes to support ongoing technical growth., • The opportunity to work in a high-performing trading environment where technology directly impacts market decisions. Who Should Apply This role will suit a senior data engineer who enjoys operating close to the business, particularly in environments where data directly influences trading or commercial outcomes. Candidates coming from financial services, trading firms, hedge funds, energy markets, or high-performance data platforms will likely transition most easily, though strong engineers from other real-time data environments will also be considered. If you are looking to work on complex data challenges, collaborate with front-office teams, and build systems that power real-world trading decisions, this is a strong opportunity.

Risk Data Operations Manager (Director) – Asset Management / Investment Management £100K-£120K per annum plus bonus & Benefits Our client is a leading Asset Management company and is currently looking for a data expert in the domain of portfolio risk analytics to lead a Risk Platform Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data and focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. The successful candidate will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. You will also mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues. Experience Required: • Proven experience with market risk models from leading vendors such as Barra (BarrOne), Axioma, Northfield, and Bloomberg (Bloomberg PORT)., • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls., • Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members., • Deep understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives., • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools., • Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions., • Expertise in anomaly detection methods, statistical tools, and best practices for managing data quality workflows., • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements., • Experience working in complex data environments, with the technical and analytical infrastructure required to support them., • Ability to identify and resolve root-cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source., • Skilled in developing automated processes to detect and resolve data errors, ensuring high-quality data for investment decision-making., • Experience in documenting key procedures and calculations and validating data for accuracy and completeness., • Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations.

Client Research Manager / Senior Research Manager Up to £55,000 Hybrid, 2/3 days per week in London We are working with a large, well-established brand and market research consultancy. They specialise in quantitative brand research and are looking to hire a Client Research Manager to support and grow key client accounts. The role • Lead quantitative brand research projects end to end, • Deliver brand tracking, brand perception, positioning, awareness, and audience insight work, • Support the development and evaluation of marketing campaigns, • Manage client relationships and present insights clearly, • Line manage at least one team member, with scope to mentor more junior researchers, • Work within mixed-methods projects, with a strong quantitative focus About you • Strong background in quantitative market research, ideally agency-side, • Proven experience in brand research and brand tracking, • Comfortable with brand metrics, segmentation, and audience insight, • Experience managing or mentoring at least one person, or ready to step into management, • Typically 4 to 6 years’ experience, ideally from a recognised research agency, • Strong Excel skills and experience using SPSS, • Experience with R or Python for survey data is a plus What’s on offer • Salary up to £55,000 depending on experience, • Hybrid working, with 2 to 3 days per week in Warwick, • Clear progression path, with promotion opportunities to Client Director level Apply via the link if interested!

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

The Role: Full Stack Data Engineer Join a high-growth technology and AI consultancy recognised for delivering exceptional outcomes across Defence, Public Sector, Healthcare, Finance, and Commercial sectors. Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact. Our client combines boutique technical expertise with global scale, creating an exceptional environment for ambitious engineers. As a Full Stack Data Engineer, you will join a consultancy where AI meets deep engineering capability. Our client is trusted to deliver transformational data platforms that support smarter decision-making across a wide range of industries, including secure government environments, with a significant focus on delivering complex, high-impact programmes involving Palantir Platforms. Due to the nature of this work, active SC (Security Check) clearance is required. The role offers the opportunity to work on projects that genuinely make a difference, applying advanced analytics, AI, and Palantir technologies to real-world challenges. This position is hands-on and consultative, blending software engineering, data engineering, and problem-solving. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools and exposure to high-impact projects. Flexible working and a collaborative, curiosity-led culture underpin everything they do. You’ll have the opportunity to: • Work alongside industry-leading engineers, data scientists, and consultants, • Deliver AI-enabled, data-driven solutions across public sector, healthcare, finance, and commercial industries, • Design and build end-to-end platforms using Palantir and modern data technologies, • Apply advanced analytics and machine learning to real-world challenges, • Influence technical direction and best practice across complex programmes, • Mentor and develop junior engineers Key Responsibilities: • Break down complex client problem sets and design innovative solutions using Palantir technologies, • Build and maintain robust data pipelines and ETL processes, • Develop operational workflows and decision-support tools that transform client operations, • Collaborate with colleagues to implement AI and machine learning models, • Apply strong software engineering principles to deliver scalable, reliable platforms, • Mentor peers and support the development of junior engineers, • Build trusted, long-term relationships with clients as a technical advisor Key Requirements: • Active SC (Security Check) clearance, • Proven experience as a Full Stack Data Engineer or similar engineering role, • Strong skills in Python, SQL, and TypeScript, • Solid understanding of data engineering, ETL pipelines, and workflow orchestration, • Interest in AI, machine learning, and emerging technologies, • Strong communication skills and a collaborative, consulting mindset, • Curiosity, adaptability, and a desire to deliver real-world impact Why Join: • Join a fast-growing AI consultancy with the backing and scale of a global organisation, • Work on high-impact projects across public sector, finance, healthcare, and commercial industries, • Gain deep exposure to Palantir, AI, and advanced analytics, • Accelerate your career in a supportive, high-performance environment, • Be part of a culture that values innovation, collaboration, and bold ambition Interested? Apply Now!

About Us: We are one of the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements. Role Overview: As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets. Key Responsibilities: • Design, develop, and maintain highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis., • Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data., • Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers., • Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring., • Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management., • Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence., • Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools. Qualifications: • 5+ years of professional experience in Python development, with a focus on building performant, scalable systems., • Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization., • Experience with distributed systems, parallel computing, and high-performance processing of large datasets., • Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases., • Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments., • Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar)., • Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes., • Experience in managing and deploying services in Linux/Unix environments., • Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure., • Fluency in English is required. Preferred Skills: • Experience in commodities markets or broader financial markets., • Knowledge of quantitative modeling, risk management, or algorithmic trading., • Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? • Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions., • Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement., • Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package., • Professional Development: Access to world-class learning and development resources, with opportunities for career growth., • Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being.

About Medly AI We're the fastest growing EdTech startup in London, on a mission to change education forever. We're living through a once-in-a-generation moment where AI-native companies are redefining entire industries - Cursor for code, Midjourney for image gen, Harvey for law. Medly is building a generational company for education. In just 4 months since launch, we've achieved retention rates that beat Duolingo and delivered personalized education to over 100,000 users. We're looking for ambitious talent to join our team. Backed by impact-focused VCs and supported by partners including UCL, Innovate UK, Microsoft, and Google, we're becoming the go-to AI education platform for all major exams worldwide. The Role We are looking for a passionate Junior Fullstack Engineer to join our growing team at Medly. This is a new role working closely with our hands-on Technical CEO and other Full Stack Engineers to build and improve our web and mobile products. You will play a pivotal role in high-impact projects across our entire stack, from crafting polished user interfaces in Next.js and React Native to building robust backend services in Python. This is a high-impact opportunity for someone eager to learn fast, take ownership, solve real problems, and help power the next generation of educational technology. Role Responsibilities • Build and maintain features across our web app (Next.js) and mobile app (React Native), • Contribute to our Python backend and help improve API performance, • Collaborate on database design and write efficient queries in Postgres, • Work with AWS services to deploy and maintain our infrastructure, • Ship polished, user-facing features that directly impact student learning, • Collaborate closely with the CEO and other Full Stack Engineers on high-impact projects Technical Requirements • Recent graduate or up to 1 year of professional experience, • Familiarity with JavaScript and Next.js (React or React Native experience is a plus), • Basic knowledge of Python, • Understanding of SQL and relational databases, • Eagerness to learn cloud services (AWS experience is a plus but not required) Ideal Candidate • Quality Focus: Obsessive attention to detail and commitment to shipping polished, bug-free experiences, • Collaborative Spirit: Ability to work closely with designers, product managers, and other developers, • Educational Interest: Passion for education and learning, though specific EdTech experience isn't required, • Startup Mindset: Thrives in fast-paced environments with rapid iteration and high impact, • Innovation Drive: Excited by the opportunity to build cutting-edge educational technology What We Offer • Competitive salary, • Opportunity to make a real impact on educational outcomes for students worldwide, • Collaborative, diverse team united by a powerful mission, • Fast-paced environment with significant growth and development opportunities, • Regular team events and a culture focused on innovation and impact, • Work on products used by tens of thousands of students daily, • Shape the future of AI-powered education

SC CLEARANCE or ELIGIBLE FOR CLEARANCE CANDIDATES ONLY Company Overview We are working with an innovative organisation that recognises the increasing complexity of project delivery. Since 2013, our client has been helping companies of all sizes improve the way projects are delivered. Their mission is to become the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate professionals who are committed to improving project delivery. Their vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. They provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. Why Join Our Client? Our client is currently in an exciting phase of growth, making this an excellent time to join their journey. They are building something special—scaling the business while maintaining a strong people-first approach. Investment in their teams is a key priority, creating an environment where development is encouraged and individuals are supported to grow with the organisation. Position Overview Our client is seeking a Senior Data Engineer who thrives on building scalable, cloud-first data systems. In this role, you will design and manage data pipelines that support analytics, AI, and automation across complex infrastructure programmes. Your work will play a key part in enabling data-driven transformation across critical UK industries. Core Responsibilities • Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks, • Develop and maintain ETL/ELT workflows to ensure high data quality and reliability, • Collaborate with analysts and AI engineers to deliver robust and reusable data products, • Manage data lakes and warehouses using formats such as Delta Lake and Parquet, • Implement best practices for data governance, performance, and security, • Continuously evaluate and adopt new technologies to evolve the organisation’s data platform, • Provide technical guidance to junior engineers and contribute to team capability building Technical Stack Core: • Azure Data Factory, • Azure Synapse Analytics, • Azure Data Lake Storage Gen2, • SQL Server, • Databricks Enhancements: • Python (PySpark, Pandas), • CI/CD (Azure DevOps), • Infrastructure as Code (Terraform, Bicep), • REST APIs, • GitHub Actions Desirable: • Microsoft Fabric, • Delta Live Tables, • Power BI dataset automation, • DataOps practices What You’ll Bring • Professional experience in data engineering or cloud data development, • Strong understanding of data architecture, APIs, and modern data pipeline design, • Hands-on experience within Microsoft’s Azure ecosystem, with an interest in emerging technologies such as Fabric, AI-enhanced ETL, and real-time data streaming, • Proven ability to lead technical workstreams and mentor junior team members, • A strong alignment with the organisation’s IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty Ready to Apply? This is a fantastic opportunity to join a forward-thinking organisation at a key stage of growth, working on impactful projects across critical industries. If you’re looking to take the next step in your career within a collaborative and innovative environment, we’d love to hear from you. Apply now.

Software Engineer – UK Engineering Team A fast-growing technology company building the digital infrastructure for physical AI With offices across the US, Europe, and Asia, the UK team is based in London. About the Role As a Software Engineer on the UK Engineering team, the successful candidate will help lead the design, development, and optimisation of high-performance software solutions — ensuring scalability, reliability, and maintainability. They will work closely with the US engineering team and cross-functional colleagues to translate requirements into robust technical solutions. Key Responsibilities: • Leading design, development, and optimisation of high-performance libraries, modules, and products, • Architecting scalable, reliable, and maintainable software solutions, • Writing, testing, and debugging efficient modern C++ code, • Identifying and resolving performance bottlenecks, • Mentoring junior engineers and fostering a culture of learning, • Contributing to CI/CD pipelines, build automation, and deployment, • Ensuring software security, data protection, and compliance Requirements: • Bachelor's degree in Computer Science or related engineering field, • 5+ years of hands-on experience in performant modern C++ (or strong willingness to learn), • Strong OOP experience with clean code principles and good design patterns, • Experience with Docker, containerised environments, and Linux-based OS (RHEL, Ubuntu), • Understanding of service-oriented architecture and message broker/data broker paradigms, • Willingness to travel to offices and customer sites as needed, • Ability to hold UK Security Clearance (current or previous preferred) Nice to Have: • Master's degree; 7+ years C++ and Python experience, • Experience embedding C++ in Python (and vice versa), • Distributed systems experience, • Experience with Bazel, • Background working on national security projects, • Experience in Remotely Operated Systems (RO2), Uncrewed Aerial Systems (UAS), or Counter-UAS (C-UAS) Work Style: The company operates primarily on an in-office basis, with flexibility for occasional remote work.

Are you interested in speciality lines of business like Casualty, Motor, Financial Lines, Energy, Marine & Construction? Are you looking to take a step up in your pricing career? Are you excited by working with some of the best actuaries, data scientists and underwriters in the market? I am hiring a Pricing Manager for a leading insurer in their Commercial Lines Pricing Team spanning a range of products including Casualty, Motor, Financial Lines, Energy, Marine & Construction. The Role - • Delivering pricing and portfolio management solutions through data analytics and modelling, • Collaboration with underwriting functions to build, develop, document and maintain pricing tools, • Managing a team - supporting junior analysts with their personal development, • Ownership of technical price assumptions and input into market pricing decisions, • Pricing large individual accounts across multiple lines of business whilst tailoring your approach and pricing techniques to the unique specifics of these highly complex risks The Candidate - • 3-4+ years' experience gained in actuarial role - ideally commercial lines/London market, • Qualified actuary preferred but not essential, • Technical experience - MS Office suite, coding languages (R/Python, VBA, SQL), • Communication and interpersonal skills Location - London (2 days per week in office) Salary - £80,000 - £120,000 If this interests you or anyone in your network then please reach out -

I am hiring a technical pricing candidate for a Senior Pricing analyst for a growing motor insurer. In this role you will own the end-to-end retail pricing process for a range of motor products. This role is essential to the central pricing function and will continue to be as they grow across UK and European market. The Role - • Implement strategic pricing decisions for new and existing motor products, • Closely collaborate with the Pricing Leadership team, • Assess the performance across the product portfolio and provide recommendations for adjustments where necessary, • The mentorship of junior team members and cultivating a highly collaborative team The Candidate - • 3-5 years' experience in personal lines pricing, • Motor pricing desirable, • Strong technical skills - SQL, Python, R or equivalent, • A track record of managing personal lines strategies, • A willingness to challenge traditional pricing methods Location - London (Hybrid, 2 days a week in the office) Salary - £50,000 - £90,000 If you have personal lines pricing experience and want to discuss this role then please get in touch -

Senior Full Stack Developer | £70,000 – £80,000 | West Drayton (4 days onsite) We’re hiring a Senior Full Stack Developer to join a collaborative, technically diverse team building cutting-edge ground software used by leading commercial airlines and military organisations. This is a fantastic opportunity to work on high-impact systems that enhance aviation safety and operational efficiency. In this role, you’ll take ownership of feature development while contributing to architecture, system integration, and overall product quality. You’ll work closely with cross-functional teams in an Agile environment, helping to shape scalable, high-performance solutions. What you’ll be doing: • Designing and developing scalable full stack applications, • Building robust backend APIs and tools, • Contributing to system architecture and technical decisions, • Collaborating in Agile teams and mentoring junior engineers, • Driving quality through testing, reviews, and best practices What we’re looking for: • 5+ years’ software development experience, • Strong skills in Python, C#/.NET, TypeScript/Angular, and SQL (MySQL), • Experience with REST APIs and AWS (EC2, Lambda, S3, RDS), • Solid problem-solving and debugging skills Bonus points for: • Aviation/aerospace experience, • Docker, CI/CD, and Agile/Scrum exposure, • Interest in AI or modern development workflows Why join? • Work on mission-critical aviation systems, • Collaborative and supportive engineering culture, • Strong scope for technical growth and career progression 📍 West Drayton (4 days onsite) 💼 Full-time, permanent 💰 £70,000 – £80,000