Quantitative Data Engineer – Real-Time Finance Pipelines
Summary
Builds and optimizes data pipelines and analytics infrastructure for valuation and quantitative datasets (e.g. curves, volatility cubes), enabling real-time pricing and market-risk calculations across asset classes. Hands-on work with Python, SQL, and Snowflake in Referment's London office.
Referment is seeking a Quantitative Data Developer for its London office to build data solutions supporting valuation and quantitative datasets such as curves and volatility cubes. You will optimize data pipelines and analytics infrastructure for performance and reliability, enabling real-time pricing and market-risk calculations across multiple asset classes.
Working hands-on with Python, SQL and Snowflake, you will transform large-scale financial data, perform quality checks, and document