Quantitative Developer, Graduate

Responsibilities

• 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

Requirements

• 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

Preferred

• Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS)

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

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.