Associate/VP, Quantitative Analyst - Commodities

Bank of America; United States; On-site; USD 100,000 - 225,000; Full time

Job summary

Bank of America is seeking a Quantitative Analyst for the Commodities team in NYC to develop scalable Python platforms for investible indices and analytics. The role focuses on building indices, backtesting capabilities, and production quality workflows with close business interaction.

The candidate should have strong Python skills, experience in quantitative finance, and the ability to work in a fast-paced, business-facing environment.

Qualifications

• Strong Python programming and software development skills.
• Rigorous problem solving and attention to data quality.
• Bachelor's degree in mathematics, statistics, CS, engineering or related field.

Responsibilities

• Develop and maintain the Python platform for commodities investible indices.
• Implement indices and strategies, backtesting, and trading analytics.
• Build scalable data pipelines, controls, and monitoring tools.
• Support GCIP trading desk and production issues, improve platform reliability.

Skills

Python

Software development

Communication

Problem-solving

Data quality

Education

Bachelor's degree in a related field

Tools

SQL

KDB+/Q

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.

Job Description: This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products. Requirement: We are seeking a talented and driven Quantitative Analyst to join the Commodities team within the Quantitative Strategies and Data Group (QSDG), supporting the Global Commodities Index Products (GCIP) trading desk. Commodity QSDG is a global team with members in London, New York, Houston, and Singapore. The team develops and supports quantitative platforms, analytical tools, models, and data solutions for commodities businesses across the Americas, EMEA, and APAC. This NYC based role will focus on the continued development of the strategic platform supporting Bank of America’s commodities investible index franchise. The successful candidate will build scalable platform components, implement new indices and strategies, improve existing analytics and workflows, and support the platform in production. The role is highly business-facing and involves close interaction with trading, index structuring, sales, and technology teams. It will suit someone who enjoys a fast-paced, high-intensity flow environment, values direct engagement with the business, and is comfortable balancing strategic platform development with timely support for trading priorities.

Responsibilities:

• Develop and maintain the Python platform supporting commodities investible indices
• Implement new indices, strategies, as well as backtesting capabilities, and trading analytics
• Build scalable data pipelines, calculation components, controls, and monitoring tools
• Support the GCIP trading desk and resolve production, data, and calculation issues
• Improve platform reliability, performance, testing, and maintainability
• Work closely with trading, structuring, sales, and technology to deliver business priorities

What We Are Looking For:

• A strong degree in mathematics, statistics, computer science, engineering, physics, quantitative finance, or a related field
• Strong Python programming and software development skills
• Experience with structured development practices, including source control, testing, code review, and release processes
• Rigorous problem-solving skills and strong attention to data quality and controls
• An interest in building and owning production-quality quantitative platforms
• Strong communication skills and the ability to work effectively in a business-facing, high-intensity environment

Preferred Skills:

• Experience with index, trading, risk, backtesting, or financial analytics platforms
• Knowledge of SQL, KDB+/Q, databases, APIs, or large-scale data processing
• Understanding of investible indices, systematic strategies, or commodity derivatives
• Knowledge of statistics, derivatives pricing, or financial engineering
• Experience with production monitoring, reconciliation, and automated controls

Minimum Education Requirement:

Bachelor's degree or greater in related field

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range $100,000.00 - $225,000.00 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.

Privacy Statement: https://careers.bankofamerica.com/en-us/privacy-notice At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference.

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Pay Transparency:

https://careers.bankofamerica.com/en-us/pay-transparency