VP/Director, Commodities Quant Analytics & Pricing

Bank of America; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Bank of America is seeking a mid-to-senior Quantitative Analyst for its Commodities Quantitative Strategies and Data Group. The role focuses on designing and maintaining derivative pricing models and volatility tools used across the global commodities trading business.

The candidate should have strong quantitative finance skills, hands-on C++ and Python development experience, and relevant derivatives pricing exposure.

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; commodities experience preferred.
• Solid knowledge of volatility modelling techniques and pricing theory.
• Proficiency in C++ and Python for numerical computing and model development.
• Experience with structured software development environments and CI/CD processes.

Responsibilities

• Develop, implement, and maintain pricing and risk models for commodities derivatives.
• Build pricing models for power, gas, storage and other non-standard derivatives.
• Design scalable model pricing code and analytics platforms for risk and trading.
• Collaborate with traders, risk managers, and model validation teams.
• Write production-ready C++ and Python code and modernize analytics infra.
• Produce thorough model documentation for governance and regulatory needs.
• Support day-to-day analytics and platform improvements.

Skills

C++

Python

Derivatives pricing

Volatility modelling

Quantitative finance

Monte Carlo methods

PDE solvers

CI/CD

Communication skills

Education

MSc/PhD in a quantitative field

Tools

Git

Linux

CI/CD toolchains

Job description

Bank of America is seeking a mid-to-senior Quantitative Analyst for its Commodities Quantitative Strategies and Data Group. The role focuses on designing and maintaining derivative pricing models and volatility tools used across the global commodities trading business.

The candidate should have strong quantitative finance skills, hands-on C++ and Python development experience, and relevant derivatives pricing exposure.