Quantitative Developer, Commodities
at Winton
Posted an hour ago
No clicks
- Compensation
- Not specified
- City
- Country
- United Kingdom
Currency: Not specified
**Quantitative Developer, Commodities** drives trading systems for Winton's Fundamental Commodities strategy. Develops reliable, high-performing trading systems and optimizes infrastructure. Collaborates closely with senior portfolio manager, initially focusing on software development, then gradually taking on independent research projects. Key responsibilities include developing new trading strategies, maintaining signal pipelines, and designing validation and monitoring frameworks. Required skills: programming in C++, Python, proficiency in statistics and data analysis, familiarity with commodities trading, and strong problem-solving abilities. 5+ years of relevant experience in quantitative finance or a related field.
Location: Quantitative Developer, Commodities
Quantitative Developer, Commodities
London, United Kingdom
We are seeking an experienced quantitative developer to join the Investment Management & Research group at Winton. The role sits within our Fundamental Commodities strategy, where you will work closely with the Senior Portfolio Manager. Within our collaborative environment, you will design and build the systems and tools that underpin the firm's trading and research.
Your focus will initially be on software development: adding functionality required for new trading strategies and maintaining the existing signal pipeline. Over time, you will become more involved in research, eventually running projects independently.
Your responsibilities will include:
- Develop reliable and performant trading systems and strategies
- Design and optimise trading infrastructure to provide a seamless path from research to live trading
- Partner with the Portfolio Manager to develop frameworks for data validation and monitoring
What we’re looking for:
- Bachelor’s degree in Computer Science, Engineering or a related field
- 5+ years of commercial development experience, with strong skills in Python.
- Hands-on experience with building and deploying data pipelines
- Familiarity with modern infrastructure (CI/CD, Kafka, Airflow)
- 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:
- Experience of developing trading systems for commodity derivatives in a systematic hedge fund
- Experience of working closely with researchers and portfolio managers
- Basic knowledge of statistical modelling in a financial context
- Experience with parallel & concurrent processing, e.g. Dask
- Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)
Equal Opportunity Workplace
Our recruitment process
Our assessment and selection processes are aimed at you showcasing your abilities rather than passing arbitrary tests. They are designed according to the requirements of our teams to identify the skills and attributes we seek. A member of our recruitment team will work with you throughout the process, guiding you at each stage.
Application
Your application will be viewed by a member of our Human Capital team.
Video and onsite Interviews
We will invite you to our offices for interviews with individuals from inside and outside the team you will join.
Phone Interview
Your background and suitability for the role will be assessed by a member of our Human Capital team.
Offer
A member of our recruitment team will talk you through the offer details including compensation, benefits, role responsibilities and future career paths.
Assessment
You may be asked to complete a technical assessment and/or case study.
