VP/Director, Quantitative Analyst - Commodities Quantitative Strategies and Data Group

Bank of America; Houston (TX); On-site; USD 100,000 - 300,000; Full time

Benefits offered by this job

Benefits eligible

Discretionary incentive

Job summary

Bank of America seeks a mid-to-senior Quantitative Analyst for its Commodities Quantitative Strategies and Data Group. Focus on pricing models, volatility modelling, and analytics libraries in production.

Strong C++/Python skills, and experience with energy derivatives preferred. The role involves developing pricing models for gas, power, and other energy products, collaborating with traders and risk managers, and contributing to governance and documentation.

Qualifications

• Advanced degree in Mathematics, Physics, CS, Financial Engineering or related field.
• Experience in quantitative analytics or development in a financial institution.
• Strong derivatives pricing and volatility modelling experience.

Responsibilities

• Develop, implement, and maintain pricing and risk models for commodities derivatives.
• Design and build scalable model pricing code and analytics platforms.
• Collaborate with traders, risk managers and model validation teams throughout the lifecycle.

Skills

C++

Python

Quantitative finance

Derivatives pricing

Volatility modelling

Education

MSc/PhD in quantitative field

Tools

Git

CI/CD

Testing

Job description

Job Description

We are seeking a talented and driven Quantitative Analyst to join our Commodities Quantitative Strategies and Data Group (QSDG). This mid-to-senior level role focuses on the design, implementation, and maintenance of cutting‑edge derivative pricing models and volatility modelling tools used across our global commodities trading business. The ideal candidate will have a strong background in quantitative finance, robust software development skills in both C++ and Python, and prior experience working on derivatives pricing models. Experience in commodities is preferred, with particular interest in candidates who have worked on gas and power products, energy derivatives, volatility modelling, or complex physical/financial commodity products. Candidates from FX, equities, rates or other asset classes with strong derivatives pricing and volatility modelling experience will also be considered.

Given the nature of the role, we are especially interested in candidates who can combine strong modelling intuition with hands‑on implementation skills, including the ability to develop and support pricing models and analytics library in production.

Key Responsibilities

• Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.
• Work on pricing models for commodities products, with potential focus areas including power, gas, spread options, storage, structured products, and other non‑standard commodity derivatives.
• 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

• Exposure to commodities markets (including, but not limited to power markets, gas and power products, power options, structured power products, heat‑rate products, storage, transmission, weather‑linked products, or other energy derivatives).
• Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.

Shift

1st shift (United States of America)

Hours Per Week

40

Pay Transparency details

Pay range: US $100,000.00 - $300,000.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible. This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits: This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.