Quantitative Developer

Winton; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Winton is seeking a talented quantitative developer to join the Investment Management & Research group in London. The role sits within our Fundamental Commodities strategy, where you will work closely with the Senior Portfolio Manager to design and build systems and tools that underpin trading and research.

Your focus will initially be on software development: adding functionality for new trading strategies and maintaining the signal pipeline; over time you will engage in research and run

Qualifications

• 1st class degree in Computer Science or equivalent.
• Postgraduate qualifications preferred but not required.
• Internships or placements in software engineering or quantitative development with Python.

Responsibilities

• Design, implement and maintain pipelines for ingestion of new datasets for systematic trading strategies.
• Partner with Portfolio Manager and senior developers to deploy new trading strategies.
• Maintain and improve trading infrastructure, data visualisations and data validation in production.

Skills

Python

Data pipelines

Communication

Education

1st class undergraduate degree in Computer Science

Tools

CI/CD

Kafka

Airflow

Docker

Kubernetes

AWS

Job description

We are seeking a talented 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 help 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:

• Design, implement and maintain pipelines for the ingestion of new datasets for systematic trading strategies
• Partner with the Portfolio Manager and senior developers to deploy new trading strategies
• Maintain and improve trading infrastructure, data visualisations and data validation in a production environment

What we're looking for:

• 1st class undergraduate degree in Computer Science
• Postgraduate qualifications are preferred but not necessary
• Completed a relevant internship (e.g. software engineering, quantitative development, or a related placement), with strong skills in Python
• Hands‑on experience with building and deploying data pipelines, gained through internship, academic, or personal projects
• 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:

• Academic or internship exposure to trading systems for commodity derivatives, ideally within a systematic hedge fund
• Experience of working closely with researchers and portfolio managers
• Basic knowledge of statistical modelling in a financial context
• Exposure to parallel & concurrent processing, e.g. Dask
• Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)