Commodities Quantitative Analyst (Front Office)

Quanteam UK; Greater London; On-site; GBP 120,000 - 190,000; Full time

Job summary

Quanteam UK seeks a Senior Quantitative Analyst to join the Front Office Quantitative Research team in London. The role develops, implements and supports pricing and hedging models, expanding a commodities analytics library with strong governance and software practices.

Open to permanent or contractor arrangements, you will collaborate with Traders, Structurers and IT to deliver robust analytics for Energy, Metals and Agriculture desks.

Qualifications

• Postgraduate degree in a quantitative field.
• 5+ years in Front Office or Model Development.
• Expertise in financial mathematics including stochastic calculus, local/stochastic volatility, Monte Carlo, PDEs and curve construction.
• Strong C++ within a large quantitative library.
• Model documentation per SR 11-07 guidelines.
• Commodities expertise across Energy, Metals, or Agriculture.
• Familiarity with Murex/MDP integration.
• Experience with modern languages like Rust.

Responsibilities

• Enhance and expand the proprietary quantitative library for Commodities, delivering pricing and risk analytics.
• Document major model developments to SR 11-07 standards.
• Collaborate with Model Risk Management to support approvals of models and changes.
• Promote software engineering best practices with unit tests and regression checks.
• Work daily with Traders, Sales and Structurers to gather requirements and design bespoke solutions.
• Integrate analytics into trading platforms and downstream risk systems with IT teams.

Skills

C++ programming

Financial mathematics

Stochastic calculus

Monte Carlo simulation

Communication skills

Team collaboration

Education

MSc or PhD in Quantitative Finance/Math/Physics/Engineering/CS

Tools

Murex integration

Rust

SR 11-07 documentation

Job description

Quanteam UK are seeking an experienced Senior Quantitative Analyst to join a Front Office Quantitative Research team in London. Based on the trading floor and working closely with the Commodities business, the role focuses on developing, implementing and supporting pricing and hedging models, and on expanding a global commodities analytics library in line with sound financial engineering, model governance and software development practices. The position is open to both permanent employees and contractors.

Key Responsibilities

• Enhance and expand the proprietary quantitative library for the Commodities market, delivering pricing and risk analytics aligned with the priorities of the Trading and Structuring desks.
• Document major model developments through quantitative notes compliant with SR 11-07 standards.
• Partner with Model Risk Management and Model Validation teams to support timely approval of new models and methodology changes.
• Promote software engineering best practice within the library, ensuring developments are covered by unit tests, non-regression testing and functional consistency checks before deployment.
• Work daily with Traders, Sales and Structurers to gather requirements, design bespoke solutions and validate quantitative developments.
• Collaborate with Pricing & Analytics IT, Murex Business Analysts and IT PreTrade teams to integrate analytics into trading platforms and downstream risk systems.

Technical Competence

Required

• Postgraduate degree (MSc or PhD) in Quantitative Finance, Mathematics, Physics, Engineering or Computer Science.
• 5+ years' experience as a Quantitative Analyst in a Front Office or Model Development environment.
• Expertise in financial mathematics, including stochastic calculus, local/stochastic volatility models, Monte Carlo simulation, PDE methods and curve construction.
• Strong C++ programming skills within a complex, shared quantitative library.
• Experience of model documentation in line with SR 11-07 guidelines.
• Commodities expertise across Energy, Metals and/or Agriculture.
• Familiarity with Murex / MDP integration.
• Experience of quantitative library refactoring or modernisation using agentic AI frameworks.
• Working knowledge of Rust or other performance-oriented modern languages.

Behavioural Competence

• Clear written and verbal communication, with the ability to explain complex quantitative concepts to Traders, Sales and IT.
• A rigorous, methodical approach to model documentation and governance.
• Collaborative working style, partnering effectively with Front Office, Model Risk and IT stakeholders.
• Ability to deliver under pressure in a fast-paced trading floor environment.

We are committed to a diverse and inclusive workplace where all individuals are respected and valued. We welcome applicants from every background and uphold equality across all characteristics. Diversity drives innovation and strengthens our ability to deliver exceptional results. Our aim is an environment where everyone can thrive and contribute to collective success.