Our client, a leading global credit investment firm, is seeking a Python Quant Developer to join their London office.
In this role, you will work closely with the Portfolio Manager and research team, providing day-to-day quantitative and engineering support. You will be responsible for developing tools and solutions that enhance the team’s workflow, and you will be expected to bring a solid understanding of credit-related concepts as you will be embedded within the credit team.
Responsibilities
Develop robust Python-based tools and libraries to support quants and traders, leveraging modern Python engineering practices.
Collect, clean, and transform large and diverse datasets, including market data, tick data, fundamental datasets, and alternative data sources.
Build and maintain automated data ingestion pipelines, integrating APIs, databases, and vendor feeds.
Maintain and enhance risk-related infrastructure, including risk-factor mappings and exposure analytics.
Collaborate closely with traders, the Portfolio Manager, risk teams, and senior quants to support ongoing research and portfolio needs.
Requirements
A minimum of 2+ years of professional Python development experience.
Strong familiarity with SQL databases and data-driven workflows.
Demonstrated experience delivering production-quality systems, not purely research code.
Background in Big Tech or a reputable financial institution.
A Bachelor’s degree in Computer Science from a recognised university.