Bank of America
Commodities Quantitative Analyst - Global Commodities Index Products (GCIP)
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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 impacting 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!
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Job Description
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 London-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
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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
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