Winton

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world's largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. Winton leverages quantitative analysis and cutting edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High quality, well managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems. As a Data Analyst within our Quantitative Platform team, you will own the quality, consistency, and discoverability of datasets as they move from onboarding into production. You will uphold our data standards and catalogue, so datasets are easy to find, trust, and use. Your work spans vendor sourced financial data, time series across instruments and asset classes, and complex, multi table products where correct mapping and definitions matter as much as raw data accuracy. Your responsibilities will include: Defining and executing rigorous acceptance criteria for new and evolving data products. From sample evaluation through to production, including coverage analysis, staleness and gap detection, and reconciliation against trusted references where available. Acting as a subject matter expert on our data products, helping Strategy Managers with vendor formats, data anomalies, corporate actions semantics, identifiers, and documentation gaps; escalating and tracking issues with vendors and internal stakeholders until resolved. Building and maintaining an automated catalogue of datasets (descriptions, owners, refresh cadence, SLAs, source systems, schemas, known limitations). Keeping the catalogue aligned with reality when pipelines change so consumers rely on current metadata. Systematically probing new and existing datasets to ensure they meet our high data quality standards. Stress testing point in time, versioning and revision semantics; chasing down corrections, duplicates, staleness, and discontinuities with source vendors. Contributing to data quality frameworks, onboarding checklists, and documentation (data dictionaries, lineage notes, known limitations) so quality expectations are repeatable and auditable. Partnering with Data Engineers on handoff contracts (schemas, SLA expectations, alerting thresholds), with Quant Researchers on analytic sanity checks, and with operations on repeatable triage when anomalies appear in production datasets. What we are looking for: 3+ years' experience working with financial data vendors and their products. Strong grasp of cross asset class time series data and what common or nuanced issues can arise when onboarding new datasets. Comfort with complex, multi entity datasets (join keys, slow changing dimensions, snapshots vs history) and a methodical approach to debugging inconsistencies. Hands on analytical experience using Python, and the ability to summarize findings clearly for both technical and non technical audiences. Meticulous attention to detail and a bias toward evidence based conclusions. Excellent communication and collaboration skills, and the ability to work in a team in a fast moving, data centric environment. What would be advantageous: Direct experience with reference and hierarchical data (security masters, classification trees, entity relationships) and cross vendor alignment. Familiarity with market, fundamental, or alternative datasets used in systematic or quantitative investment workflows. Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection) applied to production or near production feeds. Practical experience using LLMs to accelerate complex data investigations. Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Winton is looking for a Data Analyst to ensure the quality and usability of financial datasets. You will execute data acceptance criteria, act as a subject-matter expert, and maintain data catalogues. The ideal candidate has 3+ years of experience with financial data and strong skills in Python. Join a collaborative team committed to applying scientific methods to financial challenges. This role offers an exciting opportunity to work at the leading edge of investment management.

Overview Full Stack Software Developer, Post - Trade - London, United Kingdom Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world's largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. Responsibilities Build, enhance and maintain high-quality, well-tested web applications using Angular and C# Contribute to UI architecture, component design, reusability and performance Design and implement backend services, APIs and data integrations Work across the full application lifecycle: requirements gathering, design, implementation, testing, release and support Build high-quality, well-tested code with automated test coverage Engage directly with business teams to understand requirements and translate them into thoughtful technical solutions Support production systems, investigate issues and implement fixes where required Collaborate through code reviews, design discussions, and knowledge sharing Build domain knowledge in both business and technology areas What we are looking for A bachelor's or master's degree in a STEM subject 3+ years of full-time professional software development experience Strong experience with Angular (preferred), React or other structured modern front-end framework Comfortable with enterprise-grade backend technologies such as C#/.NET (preferred) or Java Good understanding of modern UI patterns, state management, component-driven development and web performance optimisation Solid understanding of application architecture, data modelling and integration patterns Strong problem-solving skills across multiple technologies and business domains Enthusiastic, collaborative and comfortable working closely with business stakeholders Strong communication skills with both technical and non-technical colleagues and a positive, can-do attitude Keen about using AI-assisted development tools and integrating them into daily workflow What would be useful Experience in UX design principles and creating intuitive interfaces Background in developing external and public facing websites with GDPR compliance Familiarity with automated UI testing tools Experience managing bug triage and prioritisation based on user impact Basic knowledge of financial performance and risk metrics Technologies we use Web: Angular, TypeScript Server-side: C# Cloud: AWS Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

A leading investment management firm in London is seeking a Full Stack Software Developer to build and maintain web applications using Angular and C#. The ideal candidate will have a strong background in full-time software development, proficient in backend technologies like C#. Responsibilities include collaborating with business teams, designing backend services, and engaging in code reviews. This role offers the opportunity to work in a collaborative environment at the edge of technology.

A leading investment management firm based in Greater London is seeking a Senior Software Engineer to design and build resilient systems. The ideal candidate will have 5+ years of experience in software development, particularly with cloud-distributed and event-driven architectures using C#/.NET. A background in financial services and strong computer science fundamentals are preferred. This role offers opportunities for innovation through modern development tools and teamwork in a collaborative environment.

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world's largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event driven, cloud distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can do approach and the ability to operate effectively in a fast paced setting. You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery. You will be part of a friendly and collaborative broader team responsible for post trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology. Your responsibilities will include: Design, evolve and maintain distributed, event driven systems with high reliability, scalability and observability Contribute to technical strategy and long term platform direction Write high quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers Continuously improve existing services, libraries and shared components Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure handling strategies Work closely with product and business stakeholders to translate high level problems into thoughtful technical solutions Collaborate with team through active contribution in code reviews, knowledge sharing and design discussions Build domain knowledge in business and technology areas Evaluate new technologies pragmatically Contribute to CI/CD pipelines, tooling and infrastructure as code What we are looking for: A bachelor's or master's degree in a STEM subject 5+ years of full time professional software development experience Proven experience building and maintaining cloud distributed, event driven or microservices based systems written in enterprise grade backend technologies such as C#/.NET (preferred) Strong computer science fundamentals Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice Natural curiosity and enthusiastic about using AI assisted development tools and integrating them into daily workflow Keen interest in keeping aware of latest technologies and a measured approach for adopting them Comfortable problem solving across multiple technologies and business domains Collaborative nature and ability to work in a team e.g. partnering with business users and technologists Ability to have constructive technical discussions What would be useful: An interest or experience with Angular and Typescript Familiarity with performance tuning PostgreSQL and/or MSSQL Experience in financial services Technologies we use: C#/.NET Microservices / Event Driven architecture Cloud distributions (Azure, AWS) CI/CD, IaC PostgreSQL, MSSQL Equal Opportunity Workplace We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.