Quantitative Developer, Commodities Winton Group · London, United Kingdom 12 hours ago

Tradermath; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Winton is seeking a seasoned quantitative developer to join its Investment Management & Research group in London. You will design and implement trading systems and data-driven tools to support research and live trading in a collaborative environment.

You will work with the Senior Portfolio Manager and researchers to build scalable infrastructure, validate data, and monitor performance across commodity-focused strategies.

Qualifications

• 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

Responsibilities

• 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

Skills

Python

Data pipelines

CI/CD

Kafka

Airflow

Docker

Kubernetes

AWS

Communication

Planning

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Kafka

Airflow

AWS

Job description

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 an experienced and talented quantitative developer to join the Investment Management & Research group at Winton. The role sits within our Fundamental Commodities strategy and will work closely with the Senior Portfolio Manager. You will work within a collaborative quantitative research environment to design and implement trading systems and tools that support the firm’s trading and research capabilities.

Responsibilities

• 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

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.