Commodities Quantitative Developer

• Quantitative Model Development: Develop, enhance, document, and test pricing models and quantitative libraries used to value power and natural gas products, derivatives, and structured commodity transactions.
• Trading Analytics and Tools: Build and maintain pricing applications, analytical tools, and risk reports to support traders, originators, middle-office professionals, and risk management teams.
• Risk Management Systems: Enhance quantitative risk systems and collaborate with IT to implement new functionality, accommodate complex transactions, and improve existing reporting capabilities.
• Model Calibration and Validation: Calibrate pricing models using observable market data and historical price information, working closely with traders to ensure models reflect current market conditions and trading requirements.
• Risk Measurement: Develop and implement quantitative methodologies for measuring and analyzing market risk, valuation, and credit exposure associated with long-term contracts and structured commodity deals.
• Complex Transaction Support: Participate in the quantitative analysis, pricing, and structuring of complex power and natural gas transactions, translating commercial requirements into robust analytical solutions.
• Software Engineering: Write efficient, maintainable, and well-tested code; improve the performance, reliability, and usability of quantitative applications and libraries.
• Cross-Functional Collaboration: Partner with traders, quantitative strategists, risk managers, and technology teams to identify analytical needs, deliver solutions, and support the continued development of the trading platform.

The ideal candidate has a background in commodities and energy (power, gas, crude oil, refined products) and can understand or learn the math behind structured deals, build/optimize rigorous quantitative models, write code in a robust framework (production-style way), and organize the interface with systems/data/pricing libraries.

The ideal candidate combines strong quantitative and mathematical finance skills with hands-on software development experience and a solid understanding of energy and commodity markets. The role requires the ability to translate complex mathematical and financial problems into practical, well-documented, and reliable technology solutions., * An advanced degree (Ph.D. or master’s) in a quantitative field (hard sciences required - mathematics, engineering, physics, computer science, etc.).

• Strong numerical and analytical skills
• Experience with mathematical finance, derivatives, option pricing, and stochastic calculus
• Strong understanding of embedded optionality and drivers
• Minimum 2-7 years of professional experience in a power or gas quantitative role in an energy trading firm, investment bank, utility, IPP, or energy consulting
• Experience with pricing model development and back-testing. Writing and building pricing or valuation models and libraries in a production environment, including back-testing and risk integration
• Experience pricing and structuring complex power and/or gas transactions (exotic options, bespoke structures, etc.) desired
• Experience in Python and an object-oriented language (C#, C++, Java, or similar) required
• Good communication skills
• Ability to work in a fast-paced environment