Job Description
Quantitative Developer
Industry: Energy / Commodities / Trading Technology
Location: London - Hybrid
Salary: £100-160,000 Base Salary + Market-Leading Bonus Potential
X4 Engineering are delighted to partner with a leading commodities trading group who are seeking a Quantitative Developer to join their high-performing Pricing & Risk Technology function. The team builds and maintains the core valuation engines that support trading, risk, and quantitative research across energy markets and equities.
In the role, you will drive the development and enhancement of the firm’s Python-based pricing library, the backbone of real-time and end-of-day analytics. You’ll work closely with quants, traders, and risk technologists to deliver fast, accurate, and scalable models for both vanilla and structured derivatives across Oil, Power, Gas, and Equity products.
You will take ownership of implementing complex pricing models, designing calibration routines, integrating market data, and ensuring robust model performance in live trading environments. This position is well suited for someone who blends strong quantitative expertise with production-grade engineering skills and enjoys solving sophisticated modelling challenges.
Key Requirements
* 5–10 years’ experience in quantitative development, model engineering, or trading technology.
* Advanced degree (Master’s or PhD) in Mathematics, Physics, Financial Engineering, or a closely related quantitative discipline.
* Advanced Python engineering capability (inc. NumPy/SciPy/Pandas).
* Strong understanding of derivatives pricing theory.
* Background working with commodity or equity options, including structured derivatives.
* Solid understanding of Greeks, risk measures, and valuation impacts in front-office contexts.
* Exposure to cloud compute or CI/CD tooling (AWS, Docker/Kubernetes, Git/Jenkins).
* Experience supporting pricing models in live production environments is highly desirable.
This role offers the opportunity to influence mission-critical pricing infrastructure used globally, while contributing to innovation in modelling, calibration, and performance optimisation.
If you're interested in exploring this opportunity, please get in touch or apply directly via the job advert.