Quant Development Lead

JR United Kingdom; Slough; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

A leading commodity trading firm seeks a Lead Developer to build and enhance their core risk technology platform. Situated in a dynamic, hands-on environment, this role focuses on developing risk models and enhancing risk reporting tools to support the firm’s trading strategies, requiring strong skills in risk modelling, particularly in commodities.

Qualifications

• Strong understanding of risk modelling, particularly Historical VaR.
• Proficiency in Python is essential; other languages are welcome.
• Experience in commodities is crucial.

Responsibilities

• Develop and enhance Historical VaR models for linear and options products.
• Work closely with traders and risk managers to improve analytics.
• Own the full modelling process within the development group.

Skills

Risk modelling

Python

VaR (Value at Risk)

Vol calibration

Option pricing

Quant exposure

Commodities knowledge

Troubleshooting

Job description

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Our client is one of the fastest-growing commodity trading firms in the market, and they are looking to hire a Lead Developer to build and run the core risk technology platform.

This is a hands-on role in a fast-paced, delivery-focused environment where code goes to production quickly and impact is visible immediately. No red tape, no endless sign-offs—just smart people solving hard problems.

Key Responsibilities:

• Work extensively with VaR (Value at Risk) models.
• Develop and enhance Historical VaR models for linear and options products.
• Maintain and improve risk reporting tools to align with business limits.
• Troubleshoot and resolve risk calculation and reporting issues.
• Own the full modelling process (all modelling sits within the development group).
• Work closely with traders and risk managers to improve analytics.

Key Requirements:

• Strong understanding of risk modelling, particularly Historical VaR.
• Proven experience with vol calibration, option pricing, and historical VaR
• Proficiency in Python (other language experience welcome, but Python is essential).
• Commodities experience is essential.
• Ability to work with existing codebases and apply models to trading scenarios.
• Business-savvy—must understand risk limits, reporting, and troubleshooting.
• Excellent knowledge within the commodities trading space, particularly with linear and options products. Physicals is a plus, but not necessary.
• Good quant exposure and understanding (there is no need for heavy Monte Carlo modelling, but someone with a practical and applied understanding of quantitative concepts).

This is a London-based team with hybrid working. Open to both permanent and contract profiles.