Quantitative Data Engineer – Real-Time Finance Platform

Referment; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Referment, a capital-markets technology firm, is hiring a Quantitative Data Developer for its London office. You will design, develop and maintain data solutions supporting valuation and construction of quantitative datasets used in pricing and risk calculations.

You will work hands-on with Python, SQL and Snowflake to transform large financial datasets, ensure accuracy, and document methodologies for internal and external validation, delivering robust inputs for live trading analytics.

Qualifications

• 3–5 years developing large-scale Python and writing SQL for data-intensive products.
• Experience with other languages such as C++ or Java.
• Solid understanding of financial derivatives, market conventions and their implementation.
• Proficiency with financial data structures like yield curves, volatility cubes and inter‑est rate dynamics.
• Comfort with numerical methods, linear algebra and statistics.

Responsibilities

• Design, develop and maintain data solutions for valuation and quantitative datasets (curves, volatility cubes, correlations).
• Optimize data pipelines and analytics infrastructure for performance and reliability.
• Deliver robust inputs for pricing and market-risk calculations in real time across asset classes.
• Document data methodologies for internal and external validation.

Skills

Python

SQL

C++/Java

Data-intensive

Education

MS/PhD in mathematics, physical sciences or engineering

Tools

Snowflake

Job description

Referment, a capital-markets technology firm, is hiring a Quantitative Data Developer for its London office. You will design, develop and maintain data solutions supporting valuation and construction of quantitative datasets used in pricing and risk calculations.

You will work hands-on with Python, SQL and Snowflake to transform large financial datasets, ensure accuracy, and document methodologies for internal and external validation, delivering robust inputs for live trading analytics.