Quantitative Developer

Cititec; Greater London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A leading energy trading firm in London is seeking a Quant Developer for their Trading Technology group. This role involves designing and maintaining a Python-based options pricing library that supports risk and valuation workflows across various commodities. The ideal candidate should have strong expertise in Python, derivatives pricing, and financial mathematics, ideally with experience in energy and commodity markets. The position offers a full-time, permanent contract.

Qualifications

• Technically strong quant engineer with expertise in Python and financial mathematics.
• Experience with energy and commodity markets is ideal.

Responsibilities

• Develop and maintain Python pricing and risk libraries for options and structured derivatives.
• Implement and calibrate pricing models and ensure alignment with front-office risk systems.
• Design and maintain volatility surface calibration workflows.

Skills

Python programming

Derivatives pricing

Financial mathematics

Job description

Quant Developer

Pricing & Risk Technology

Commodities Trading

London | Full-Time, Permanent

Overview

Our client is a leading energy trading firm who are looking for a Quant Developer to join the Trading Technology group, focusing on the design, enhancement, and maintenance of a Python-based options pricing and valuation library. This system supports risk and valuation workflows across Oil, Power, Gas, and Equities, delivering real-time and end-of-day analytics for traders, risk, and quant teams.

The role suits a technically strong quant engineer with expertise in Python, derivatives pricing, and financial mathematics - ideally with exposure to energy and commodity markets.

Key Responsibilities

• Develop, maintain, and extend Python pricing and risk libraries for options and structured derivatives (APOs, CSOs, ULDs, P1X).
• Implement and calibrate pricing models (vanilla and structured) and ensure alignment with front-office risk systems.
• Design and maintain volatility surface calibration workflows, manage market data (curves, vols, correlations), and build robust fallback and proxy mechanisms.

Enhance library performance, calibration routines, and diagnostics; contribute to regression testing and C...