Job Description

    •    Build and enhance distributed systems for real-time margin and stress cash simulations
    •    Collaborate with global teams across London, New York and Miami
    •    Design and maintain robust data models, pipelines and storage systems
    •    Leverage modern Python engineering, cloud tech and financial datasets in a high-impact environment

The Role
A leading trading firm is looking for a Data Engineer to join its Treasury Quantitative Development group. You’ll be central to the build-out of scalable, high-availability systems used to calculate margin and cash stress scenarios for senior management, treasurers and PMs. You’ll work closely with quantitative researchers and engineering teams to design backend services and maintain the firm’s data infrastructure, including data models, warehousing and caching layers.

This is a global role with regular collaboration across teams in London, New York and Miami.

Key Skills and Experience Required
    •    At least 5 years of experience developing systems in Python or another OOP language with strong Python proficiency
    •    Background in Computer Science or other quantitative discipline (BSc or higher)
    •    Experience with cloud infrastructure
    •    Strong knowledge of RDBMS (PostgreSQL preferred) and other data platforms (e.g. DuckDB, NoSQL, data lakes)
    •    Understanding of algorithms, data structures and software design patterns
    •    Familiarity with Git/GitHub and CI/CD pipelines
    •    Excellent communication skills and ability to collaborate with senior stakeholders
    •    Independent, detail-oriented and highly organised

Desirable
    •    Exposure to Treasury or margin methodologies in financial services
    •    Prior experience in a trading or hedge fund environment

Why Apply?
    •    Highly visible role in a business-critical team
    •    Opportunity to work at the intersection of data engineering and quant development
    •    Collaborative global environment with strong technical peers

If you’re interested in applying your engineering expertise in a high-performance trading context, we’d love to hear from you.

Apply now to learn more.