Bank Of America Commodities Quant 

United Kingdom, England, London 

473832456

Job Title:Commodities Quant

Director

Responsibilities:

• Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.

• Contribute to the design and calibration of volatility surfaces and models.

• Design and build scalable model pricing code and quantitative software platforms that support risk analytics and trading needs.

• Work closely with traders, structurers, and risk managers to deliver high-performance analytics and model-driven tools.

• Write high-quality production code in C++ and Python, and contribute to the ongoing modernization of the analytics infrastructure.

• Write comprehensive model documentation to support internal governance and regulatory requirements.

• Collaborate with model validation and risk control teams throughout the model approval lifecycle.

• Support day-to-day analytics needs and participate in the continuous improvement of the platform.

Qualifications:

• Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Computer Science, Financial Engineering, or related quantitative field.

• Experience in a quantitative analytics or quantitative development role within a financial institution or a relevant industry.

• Strong experience in pricing and modelling derivatives, preferably in commodities, but FX, equities, or other complex products also considered.

• Solid knowledge of volatility modelling techniques and derivative pricing theory.

• Proficiency in C++ and Python for numerical computing and model development.

• Knowledge of working within a structured software development environment. Use of source code control systems, continuous integration environments, testing, release processes, etc.

• Excellent problem-solving skills, attention to detail, and strong communication abilities.

• Experience with model documentation and familiarity with model validation processes is a strong plus.

• Preferred Skills:

Preferred Skills:

• Exposure to commodities markets (including, but not limited to energy, metals, ags, gas, power, index).

• Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.