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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 talented Full-Stack Developer with strong experience in modern web technologies, ideally with deep expertise in Angular or a similar front-end framework, and solid capability across backend technologies. The ideal candidate is enthusiastic, collaborative and delivery-focused, with a strong sense of ownership and ability to pick things up quickly in a fast-paced environment. They will bring both a user-centred mindset and the technical depth required to deliver robust end-to-end solutions for both internal and external audiences.
You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working closely with our Client Solutions team to understand requirements, design solutions and ensure exceptional user experience from both a UI and data quality perspective. In addition to project work, you will have regular opportunities to implement enhancements for both business and technology.
Your responsibilities will include:
What we are looking for:
What would be useful:
Technologies we use:
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.
Ready to apply?
Apply to 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.
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:
• Web: Angular, TypeScript
• Server-side: C#
• Data: MSSQL, PostgreSQL
• Cloud: AWS
• Deployment: Docker, Kubernetes
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.
Ready to apply?
Apply to 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 Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.
Your responsibilities will include:
What we are looking for:
What would be advantageous:
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.
Ready to apply?
Apply to Winton
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