Data Platform Engineer at Caxton | London

About Caxton Associates:Founded in 1983, Caxton Associates is a premier global trading and investment firm, with a presence in key financial hubs including New York, London, Bengaluru, Monaco, Singapore, and Dubai. Our firm is dedicated to managing client and proprietary capital, offering a diverse range of products specifically tailored to meet the unique needs of our investors. By employing a multi-portfolio manager framework, we excel in discretionary global macro investing, leveraging extensive expertise across various asset classes and markets.About the Role:We are on the lookout for a skilled Database Engineer to enhance our London-based technology team. This hands-on position is pivotal in the design, development, and optimization of the company's core data platforms. You will be instrumental in shaping and scaling our data architecture, directly influencing trading and investment decisions. Candidates must possess strong technical skills, a keen eye for data quality, and the ability to thrive in a dynamic, high-stakes environment.

Caxton Associates, established in 1983, is a global trading and investment firm with offices in London, New York, Singapore, Monaco, Dubai, and Bengaluru. The company manages both client and proprietary capital, offering a variety of investment products for different investor needs. Caxton operates with a multi-portfolio manager approach and specializes in discretionary global macro investing, applying expertise across asset classes and markets. Role overview The Software Development team at Caxton Associates in London is looking for a Python LLM Engineer. This team builds scalable, reusable, and efficient distributed services and applications that support users across the firm. What you will do Create and deploy Python workflows that use large language models (LLMs), integrating them into current business processes. Implement retrieval-augmented generation (RAG) and related architectures to ensure LLM outputs are grounded in proprietary data. Design secure data integrations by connecting models to internal knowledge bases, APIs, and document repositories. Automate research and operational tasks to improve efficiency and quality within the firm. Develop and maintain reliable data pipelines for document parsing, enrichment, and structured data extraction. Write maintainable, testable Python code to support scalable AI services in production environments. Run pilots and proofs of concept to showcase value and establish best practices for AI adoption at Caxton. Troubleshoot and enhance model performance, retrieval accuracy, and infrastructure reliability. Stay up to date with advances in LLMs, prompt engineering, and applied machine learning; evaluate and prototype new approaches. Location This role is based in London, England, United Kingdom.

Company Overview:Founded in 1983, Caxton Associates is a distinguished global trading and investment firm, boasting offices in major financial hubs including London, New York, Monaco, Singapore, and Dubai. Our core mission is to expertly manage both client and proprietary capital across a diverse array of liquid global hedge fund strategies. With a strong commitment to alpha generation, we leverage our broad trading mandate to navigate global markets and instruments effectively.The Role:We are actively searching for seasoned Portfolio Managers with experience across various strategies, including but not limited to:Discretionary MacroEmerging Markets MacroEquity Long/ShortEvent-DrivenFixed Income Relative ValueMedium-Frequency SystematicCommoditiesIn this pivotal role, you will manage a substantial capital allocation, apply rigorous risk management techniques, and thrive in our collaborative, research-centric environment. We prioritize teamwork, encouraging ongoing discussions about macroeconomic trends, geopolitical shifts, and financial market dynamics. We seek professionals capable of providing unique insights within their investment domain and contributing to the firm's overarching strategic vision, harnessing collective expertise to drive alpha generation.Key Responsibilities:Independently oversee a significant capital allocation by formulating, executing, and monitoring an alpha-oriented investment strategy.Develop portfolios that aim to achieve asymmetric returns with minimal correlation to traditional markets by leveraging variant market perspectives.Implement comprehensive risk management, consistently evaluating the value of all positions and investment hypotheses.Collaborate within a global team, enhancing and benefiting from shared insights and collective knowledge.Adhere strictly to all industry regulations and internal risk management protocols.

About Caxton Associates:Founded in 1983, Caxton Associates is a prestigious global trading and investment firm with a strong presence in major financial hubs, including New York, London, Bengaluru, Monaco, Singapore, and Dubai. The firm specializes in managing client and proprietary capital through a diverse suite of investment products tailored to meet the unique requirements of its investors. Utilizing a multi-portfolio manager approach, Caxton excels in discretionary global macro investing, drawing on its extensive expertise across various asset classes and markets.About the Role:We are on the lookout for a dedicated Trading Support Engineer to become an integral part of our London Tradeflow team. In this role, you will play a crucial role in supporting front-office trading operations, ensuring the seamless flow of orders and executions across both internal and external trading systems.This hands-on production support position emphasizes monitoring live trading activities, analyzing order and execution flows, and troubleshooting any issues related to FIX connections and internal systems. You will collaborate closely with trading, operations, and global technology teams to guarantee timely and accurate trade processing.Success in this role demands meticulous attention to detail, excellent communication skills, and the ability to remain composed in fast-paced, time-sensitive environments.Responsibilities:As a valued member of the Tradeflow support team, your key responsibilities will include:Monitoring and supporting trade, order, and execution flows across FIX connections, internal order management systems, and external brokers and trading venues.Analyzing FIX message traffic (including orders, cancellations, rejections, and executions) to identify and resolve routing or workflow issues.Assisting with Bloomberg AIM order and execution workflows.Investigating trade breaks, discrepancies, and missing or delayed executions.Providing support for troubleshooting session drops, connectivity issues, and counterparty rejections.Coordinating with brokers, trading desks, and operations teams to address daily production challenges.Escalating incidents as necessary and providing clear status updates to stakeholders.Maintaining documentation and contributing to operational runbooks and procedures.Requirements:1–3 years of experience in supporting trading, middle office, or financial systems.Fundamental understanding of FIX messaging and the order-to-trade lifecycle.Familiarity with financial markets and execution workflows.Strong analytical and problem-solving abilities.Basic scripting skills, preferably in Python.Proficiency with log analysis and monitoring tools.Experience with version control systems (e.g., Git).Some knowledge of SQL and relational database schemas would be advantageous.Excellent written and verbal communication skills.Ability to work efficiently under pressure in time-sensitive trading environments.Exhibits and adheres to the highest ethical standards.

Company Overview:Founded in 1983, Caxton Associates is a prestigious global trading and investment firm with a presence in key financial hubs including London, New York, Monaco, and Singapore. Our primary focus lies in managing both client and proprietary capital through innovative global macro hedge fund strategies. Our diverse asset management approach allows us to engage in a wide array of global markets and financial instruments.About the Associate Portfolio Manager Program:At Caxton Associates, we pride ourselves on cultivating top-tier investment talent. This commitment inspired the launch of our comprehensive two-year Associate Portfolio Manager (APM) Program in 2012, designed as an exceptional pathway for high-potential buy-side investors, elite sell-side trading professionals, or distinguished quantitative analysts across various hedge fund disciplines, including discretionary macro, systematic macro, emerging markets macro, systematic trading, equity long-short, and event-driven strategies.The APM Program provides immersive exposure and rigorous training aimed at enhancing participants' investment acumen, ultimately facilitating their advancement to senior Portfolio Manager roles within Caxton. Notably, over a quarter of our current Portfolio Managers have successfully risen through this program, attesting to its effectiveness and significance.Candidate Profile:We are in search of candidates with 3 to 10 years of experience in asset management, hedge funds, and/or market-making. The ideal candidate will possess expertise in and ideally have direct experience implementing proposed investment strategies and associated markets. We value entrepreneurial risk-takers eager to develop and expand their investment strategies. The ability to work autonomously while also collaborating with diverse stakeholders is essential, as is a demonstrated commitment to ongoing growth and professional development.If you are passionate about the financial markets, possess a robust work ethic, and meet the outlined criteria, we encourage you to apply. Please submit your CV, investment track record (if available), and a comprehensive outline of your proposed investment strategy. A detailed strategy outline is a critical component of your application.We look forward to exploring your potential and welcoming you to contribute to the esteemed legacy of Caxton Associates.

yuno is looking for an Engineering Manager to join the Data Platform team in London. This position centers on strengthening the company’s data infrastructure, which is essential for collecting, managing, and using data across multiple products and teams. Role overview The Engineering Manager will oversee a group of engineers dedicated to the development and performance of yuno’s data platform. The work involves guiding the team through the design and implementation of data systems that are both scalable and reliable. What you will do Lead and support a team working on the data platform’s development and ongoing performance. Direct the design and rollout of data systems built for scale and reliability. Encourage a collaborative and creative team culture. Ensure delivery of data solutions that align with business goals. Location This role is based in London.

We are seeking a talented and passionate Platform Engineer to join our innovative team at Faculty. As a Platform Engineer, you will play a crucial role in designing, developing, and maintaining our cutting-edge platforms that empower organizations with data-driven insights.In this position, you will collaborate closely with cross-functional teams to build scalable and efficient solutions, ensuring high availability and performance. You will leverage the latest technologies and best practices to enhance our infrastructure and contribute to the overall success of our projects.

About SwapAt Swap, we are revolutionizing modern commerce with our unique AI-native platform that seamlessly integrates backend operations with an innovative storefront experience. Our solution is designed for brands aspiring to sell anything, anywhere, by centralizing global operations and enabling intelligent workflows. With real-time data and capabilities, our products cover cross-border transactions, tax management, returns, demand planning, and our state-of-the-art agentic storefront. This empowers merchants with complete transparency and the confidence to make informed decisions.We are fostering a culture at Swap that emphasizes clarity, creativity, and a shared sense of ownership as we redefine the landscape of global commerce.About the RoleWe are seeking enthusiastic, detail-oriented, and adaptable Data Engineers to join our platform team during an exciting phase of growth. This role is ideal for proactive engineers who thrive in dynamic environments and are eager to take charge, contribute significantly, and collaborate closely with product teams.In this pivotal position, you will play a key role in designing, optimizing, and scaling our premier data platform, which fuels our advanced customer-facing agentic systems. You will engage proactively with Product Managers and stakeholders to advocate for best practices, ensuring our platform remains robust and poised for future advancements.This hands-on builder role is suited for knowledgeable and enthusiastic team players excited about the opportunity to accelerate and expand a greenfield platform.Key ResponsibilitiesData Pipeline Engineering: Develop, optimize, and sustain comprehensive end-to-end data pipelines for essential business operations. Prioritize low latency, strong observability, and effective alerting for batch and stream processing to guarantee data reliability.API Development: Support the design and implementation of new features within the API layer, collaborating with product teams to ensure efficient data access.Platform Contribution: Own specific components of the data platform, actively contributing technical enhancements for scalability, future readiness, and alignment with Swap's long-term product strategy.Data Quality & Governance: Implement and advocate for best practices in data quality to ensure the data's integrity and reliability.What We Would Like to SeeA minimum of 3 years of experience in data engineering or related roles, demonstrating a strong understanding of data systems.Proficiency in programming languages such as Python, Java, or Scala.Experience with cloud platforms such as AWS, Azure, or Google Cloud.Strong problem-solving skills and a passion for data-driven decision-making.

Join Storio Group as an Engineering ManagerRole Overview:We are on the lookout for a skilled Engineering Manager specializing in Data to lead our dynamic London-based data team. Your primary focus will be to develop and enhance a platform that fosters a decentralized data adoption model throughout our organization.At Storio, we prioritize delivering reliable and actionable data that fulfills business requirements. We’re eager for you to build and manage a high-performing team dedicated to this objective. If you have a background in software engineering management with a focus on data, we would love to hear from you!Our data and AI team is expanding across the UK and the Netherlands, serving as the backbone for various data-driven consumers and platforms within Marketing, Finance, Operations, and Product teams.Our AI photo services are pivotal to enhancing customer experience, and we are broadening our efforts towards decentralized machine learning adoption within the business. Following a series of mergers, our team has unified and is transitioning from a phase of simplifying legacy systems to a stage of consolidation and growth.Our Technology Stack:• Cloud Data Warehouse - Snowflake• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda• Data Governance & Quality - Collate & Monte Carlo• Infrastructure as Code - Terraform• Data Integration & Transformation - Python, DBT, Fivetran, Airflow• CI/CD - Github Actions / Jenkins

Role overview As a Staff Engineer on the Data Platform team at yuno in London, the focus is on designing and developing scalable data solutions. These systems help internal teams operate more efficiently and contribute to product improvements across the company. This position involves hands-on work with technical architecture, providing the chance to influence how data systems are built and maintained. Projects in this role are closely tied to business goals, with a direct impact on yuno’s progress. Key responsibilities Build and maintain scalable data platforms to support internal stakeholders Contribute to the design and evolution of technical architecture Work on projects that drive product and business growth Location This role is based in London.

Join our dynamic Data Processing Product Area at Spotify, where we create innovative platforms and tools that transform the way we process, manage, and leverage data on a massive scale. Our team empowers various departments within Spotify to tackle intricate data challenges with assurance. We emphasize enhancing efficiency, quality, and innovation, enabling engineers and data professionals to accelerate their work while ensuring reliability and cost-effectiveness.

Role Overview Spotify is looking for a Backend Engineer to join the Data Platform team in London. This position focuses on building and improving the backend systems that power Spotify’s data processing and analytics. The work supports a seamless experience for millions of listeners around the globe. What You Will Do Develop and maintain scalable backend systems for data processing and analytics. Work closely with cross-functional teams to optimize Spotify’s data infrastructure. Help ensure high availability and strong performance across backend services. About the Team The engineering team at Spotify values collaboration and technical excellence. The Data Platform group plays a key role in supporting the company’s ability to deliver music and insights at scale.

Join Spotify as a Senior Fullstack Engineer and play a pivotal role in developing our innovative Data Platform. You will collaborate with cross-functional teams to design and implement robust solutions that enhance our data processing capabilities. This is an exciting opportunity to work with cutting-edge technologies in a dynamic environment.

Role overview Wise is hiring a Data Platform Engineer focused on the Database Platform, working primarily with Python. This role centers on improving data processes, maintaining strong performance, and supporting scalable solutions. The work involves close collaboration with teams across the business to deliver reliable and efficient data systems. What you will do Optimize and streamline data workflows for better performance and scalability Work with cross-functional teams to implement effective data solutions Contribute technical expertise to improve Wise’s data architecture Location This position is based in London.

Join Relay in Revolutionizing Logistics!At Relay, we are fundamentally transforming the way goods are transported in the digital age. With the backing of Europe’s largest logistics Series A funding ($35M) from visionary investors like Plural—whose portfolio ranges from fusion energy to space exploration—we are growing at an unprecedented pace, surpassing 99.98% of venture-backed startups. We are building an exceptionally talented team that is setting new benchmarks in the logistics sector.Our Mission is to eliminate barriers to commerce. Currently, high delivery costs function as a hidden tax on e-commerce, dictating what can be sold online and who can engage in this space. We aspire to create a world where goods move freely among people, ensuring a seamless and accessible online shopping experience for all.The Team• A dynamic team of approximately 110 individuals, over half of whom are in engineering, product, and data roles.• Home to 45+ advanced degrees in fields such as computer science, mathematics, and operations research.• Handling thousands of data points for each parcel we manage, with extensive calculations, analyses, and predictions.• A culture that thrives on first-principles thinking, rapid feedback loops, and relentless experimentation.Your OpportunityAt Relay, our network generates data at every interaction—couriers, routes, parcels, sortation, pricing, and demand signals. This data serves as the foundation for every decision we make, especially as we increasingly integrate AI systems for autonomous decision-making.As the Head of Data Platform, you will oversee the infrastructure that transforms raw data into actionable insights. This includes managing the transformation layer (dbt), the semantic layer (Cube), the pipelines that supply them, and the standards that ensure the output is reliable. You will be tasked with ensuring data readiness for human analysts, dashboards, machine learning models, and autonomous agents.This is a pivotal leadership role where you will inherit a high-performing engine. The platform currently supports critical decision-making across all departments, backed by a robust dbt architecture and a semantic layer with strict naming conventions. Your mission is to elevate this 'V1' success into a world-class platform that remains the ultimate source of truth as our complexity scales.You will lead a team of dedicated data and analytics engineers who possess deep technical expertise and take great pride in their work. They are autonomous and have a clear vision of excellence. What they need is a leader who can...

Checkout.com supports online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony, processing billions of transactions every year. With a presence in 19 offices across six continents and headquarters in London, the company emphasizes high performance, continuous improvement, and innovation. Employees contribute directly to shaping the future of fintech. Role overview The Senior Engineering Manager - Data Platform leads the Data and AI Platform Team. This group provides the systems and tools that enable products, merchants, and internal teams to make effective use of data and AI. The goal is to maximize time spent on innovation and solving business problems, while reducing the complexity of technical implementation, deployment, and monitoring. As Checkout.com grows, the Data Platform must scale to support hundreds of teams and manage petabyte-scale data volumes. What you will do Guide the team in designing technical architecture and building user-focused systems and tools. Oversee technical delivery and operational reliability, driving process automation and maintaining high engineering standards. Ensure service levels (SLAs/SLOs) are met with minimal manual intervention. Manage a team of Junior and Senior Data Engineers, providing hands-on support when needed. Foster an inclusive culture and mentor team members in both technical and interpersonal development. Lead quarterly execution of roadmap deliverables, ensuring alignment with business objectives. Location This position is based in London.

Join Spotify as a Senior Android Engineer within our innovative Data Platform team. In this role, you will leverage your extensive Android development experience to enhance our data services and deliver optimal user experiences. You will collaborate with cross-functional teams, including product managers and data scientists, to design and implement robust solutions that support our growing user base.

Recursion Pharmaceuticals is reimagining drug discovery by combining biology and data in new ways. The Senior Scientific Data Engineer - Data Platform will help shape and maintain the data infrastructure that drives this mission. This position is based in either London or Oxford. Role overview This role focuses on designing, developing, and maintaining scientific data systems that underpin Recursion’s research and product development. The emphasis is on data architecture rather than machine learning or model building. The work involves: Managing the ingestion, standardization, and distribution of public and proprietary datasets essential for drug discovery. Enabling competitor intelligence, chemical tractability analysis, and compound design workflows through well-structured data products. Owning and evolving the data infrastructure that supports predictive modeling and machine learning across the company. This position suits engineers who enjoy building complex scientific data systems. It is not a modeling or data science role. Key data systems and products Flagship SAR Data Mart: Integrates commercial and public bioactivity databases (such as ChEMBL) with internal assay results. Commercial Vendor Data Mart: Maintains a catalog of purchasable compounds for internal design tools and tractability assessments. Biomedical Knowledge Graph: Offers semantic graph infrastructure connecting targets, diseases, and compounds to support AI-driven research. Chemical Synthesis Data: Stores reaction datasets for training retrosynthesis models and predicting chemical tractability. Patent Intelligence System: Converts patent feeds and competitor data into actionable insights for research and strategy. Compound Standardization Registry: Maintains a large-scale chemical structure repository to ensure consistency across billions of compounds, similar to UniChem. Important note This is a specialized Data Engineering position focused on data infrastructure and stewardship. The work does not include training or building predictive models, but it directly supports those efforts through reliable systems and curated datasets.

ClearBank provides banking infrastructure that supports a wide range of clients, including fintech firms, crypto platforms, traditional banks, and credit unions. Through ClearBank’s API, organizations can strengthen and modernize their banking systems. The company emphasizes a team-first culture shaped by collaboration, fairness, and autonomy. Team members have opportunities to contribute meaningfully and influence how things are done. Role overview This Platform Engineer position sits within Team Serval, part of ClearBank’s Infrastructure Cluster. Reporting to an Engineering Manager, the role centers on designing, implementing, and maintaining the network infrastructure that underpins ClearBank’s services as the business continues to grow. Daily responsibilities include: Designing and maintaining network infrastructure Applying Infrastructure as Code practices to improve deployment processes Supporting software delivery using Azure DevOps Collaborating closely with Technical Product Owners and Engineering Managers to enhance the platform ClearBank has been recognized among the UK’s fastest-growing tech companies by Deloitte Fast 50. Requirements Experience working with Infrastructure as Code Solid networking expertise Practical skills in Azure DevOps A proactive, collaborative approach to solving problems Location This role is based in ClearBank’s London office and follows a hybrid work pattern.

Company Overview:Founded in 1983, Caxton Associates is a distinguished global trading and investment firm with offices in key financial hubs such as London, New York, New Jersey, Monaco, and Singapore. Our core business revolves around managing client and proprietary capital through innovative global macro hedge fund strategies. With a wide-ranging mandate, we engage in trading a diverse array of global markets and financial instruments.About the Associate Portfolio Manager Program:At Caxton Associates, we pride ourselves on nurturing exceptional investment talent. Established in 2012, our Associate Portfolio Manager (APM) Program is designed to cultivate the next generation of Portfolio Managers. This program offers an incredible opportunity for high-potential investors, accomplished sell-side professionals, and quantitative analysts to refine their investment skills.Our APM Program has proven to be a successful talent pipeline, with over 25% of our current Portfolio Managers having joined through this initiative, including many of our most senior risk takers.Position Overview:We are currently on the lookout for experienced systematic portfolio managers and/or analysts. Candidates should demonstrate proficiency in utilizing various asset classes with a flexible approach to holding periods. Our primary focus is on technical expertise and a solid grasp of quantitative and systematic investment methodologies.If you are eager to join this program, please submit your CV, investment track record (if available), and a comprehensive outline of your proposed investment strategy.