Quantitative Analyst - Commodities Platform & Indices

ghr

New York (NY)

On-site

USD 100,000 - 225,000

Full time

3 days ago

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Job summary

Bank of America in New York City is seeking a Quantitative Analyst to advance the commodities investible indices platform. You will build scalable Python components, backtest strategies, and support production workflows alongside traders, index structuring, sales, and technology teams.

The role requires a strong math/statistics background, Python proficiency, and experience with data pipelines and analytics platforms.

Qualifications

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 (source control, testing, code review, release).

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