VP, Quantitative Analyst - Commodities
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Access to paid time off
- Resources and support to our employees
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What This Job Offers
Job Type
Full-time
Career Level
Senior
