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

Bank of America; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Bank of America is seeking a talented Quantitative Analyst for its Commodities Quantitative Strategies and Data Group. This mid- to senior-level role focuses on designing, implementing, and maintaining pricing models and volatility tools used across our global commodities trading business.

You will leverage strong C++ and Python skills, deep quantitative knowledge, and experience in derivatives pricing. Preference for candidates with gas/power commodities experience and energy derivatives

Qualifications

• Advanced degree in a quantitative field with hands-on experience in a financial setting.
• Strong track record pricing and modelling derivatives, especially commodities.
• Proficiency in C++ and Python for numerical computing and model development.

Responsibilities

• Develop, implement, and maintain pricing and risk models for a wide range of commodities derivatives.
• Design and build scalable model pricing code and analytic platforms supporting risk analytics and trading.
• Collaborate with traders, structurers, and risk managers to deliver high‑performance analytics.

Skills

C++

Python

Quantitative finance

Derivatives pricing

Volatility modelling

Education

MSc/PhD in Mathematics/Physics/CS/Financial Engineering

Tools

Git

CI/CD

Job description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Position Overview

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.

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