About 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 team responsible for post-trade and reporting software development. The role involves working closely with operations, fund accounting, and other teams across the business including senior management - there is no BA layer, you will gather requirements directly from the business, design solutions and own them end-to-end. In addition to project work, you will have regular opportunities to implement enhancements for both 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
