Quantitative Developer, Graduate

Winton Capital US LLC; Greater London; Sur place; GBP 75 000 - 110 000; Plein temps

Résumé du poste

Winton Capital US LLC invites a talented quantitative developer to join the Investment Management & Research group in the Fundamental Commodities strategy. You will design and build systems and tools that underpin trading and research.

Initially you will focus on software development—adding functionality for new strategies and maintaining the signal pipeline—with time moving into research and independent project leadership.

Qualifications

• 1st class degree in Computer Science.
• Postgraduate qualifications preferred.
• Internship with strong Python skills.
• Experience building and deploying data pipelines.
• Familiarity with CI/CD, Kafka, Airflow.
• Excellent communication and collaboration.
• Detail oriented with strong engineering practices.
• Ability to plan and deliver to projects in a timely manner.

Responsabilités

• 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

Connaissances

Python

Data pipelines

CI/CD

Kafka

Airflow

Dask

Communication

Collaboration

Time management

Formation

1st class degree in Computer Science

Postgraduate qualifications preferred

Outils

Docker

Description du poste

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