Financial Engineer (B2C2CC8)

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

Job summary

Referment in London is seeking a Financial Engineer to design, develop and test models for real‑time pricing and market risk. The role focuses on pricing logic across equity, credit, FX, and other assets, building scalable C++ services and validating inputs with Python and SQL.

You will work on live data, yield curves, volatility surfaces and risk factors, with productionization of models and documentation for internal and external validation processes. Office‑based, four days a week in London.

Qualifications

• 3–5 years of large‑scale C++ development and data‑intensive product work.
• Fluency with Python, Java and SQL in data analytics and modeling contexts.
• Strong understanding of financial derivatives and market conventions.

Responsibilities

• Design, develop and test models for real‑time pricing and market risk.
• Implement pricing/risk logic across multiple asset classes and jets of data.
• Document methodologies for validation and compliance; productionize models.

Skills

C++

Python

SQL

Derivatives knowledge

Numerical methods

Education

M.S./PhD in mathematics or engineering

Tools

Snowflake

Job description

Referment is working with a capital-markets technology company whose software helps banks, hedge funds and asset managers trade, manage portfolios and measure risk in real time. Its Models and Quantitative Data team owns the pricing and market-risk models that run inside a live trading platform across every major asset class. The team is hiring a Financial Engineer in its London office.

The Role

You will design, develop and test the models used to value financial positions and calculate market risk metrics in real time. That covers implementing pricing and risk logic across equity, credit, FX, fixed income, commodities, crypto and their derivatives, and constructing the quantitative inputs those models require, from yield curves and volatility surfaces to interest-rate volatility cubes and correlation matrices.

You’ll write modern, high-performance C++ for large-scale distributed systems on a grid computing platform, and use Python, SQL and Snowflake to analyse, construct and validate model inputs. You’ll also document your methodologies to support internal and external validation and compliance processes, taking models from design through to production.

What We're Looking For

• Strong quantitative and programming skills, with 3-5 years of large-scale C++ development and program design and experience of data-intensive products.
• Fluency with additional languages such as Python, Java and SQL.
• A strong understanding of financial derivatives, market conventions and their implementation.
• Hands-on experience with financial data structures including yield curves (OIS, Libor, cross-currency), inflation curves, volatility surfaces and interest rate volatility cubes, preferably live or intraday.
• Comfort with numerical methods, linear algebra, partial differential equations, probability theory and statistics.

Desirable

• Experience building risk management tools such as VaR, Monte Carlo, scenario analysis and P&L.
• An M.S. or PhD in mathematics, physical sciences or engineering.

This could suit a financial engineer, quantitative developer or quantitative analyst from a bank, hedge fund or software vendor who wants to build pricing and risk models used in a live, multi-asset platform. The role is based in London and is in-office, with four days a week in the office; remote work is not available.

Referment