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 seek a talented quantitative developer to join the Investment Management & Research department at Winton. You will be partnering with portfolio managers, researchers and software developers to understand requirements and deliver solutions. You will be responsible for designing and implementing trading systems and tools that support the firm’s research capabilities.

Responsibilities:

  • Partner with quantitative researchers and portfolio managers to develop back testing frameworks for validating the strategies and monitor the ongoing performance
  • Design and optimise trading infrastructure to provide a seamless path from research to live trading
  • Develop reliable and performant trading systems able to trade 24/6
  • Iterate with quantitative researchers and portfolio managers on the research process in order to enhance performance and usability

What we’re looking for:

  • Bachelor’s degree in Computer Science, Engineering or a related field
  • 3+ years of commercial development experience, with strong skills in Python. Additional C++ experience would be very desirable.
  • Hands-on experience with parallel & concurrent processing (asyncio, multithreading, multiprocessing. etc)
  • Familiarity with big-data frameworks and standards (Kafka, Redis, Arrow, Avro, etc. )
  • Hands-on experience with building low-latency/high-throughput trading pipelines
  • Experience with CI/CD workflows
  • Excellent communication and collaboration skills
  • Detail orientated, with a commitment to best engineering practices
  • The ability to prioritise, plan and deliver to projects in a timely manner

What would be useful:

  • Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)
  • Experience of developing trading systems in a systematic hedge fund
  • Experience of working closely with researchers and portfolio managers
 

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.

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