VP Quantitative Analyst - Commodities Platform & Indices

Bank of America; New York (NY); On-site; USD 100,000 - 225,000; Full time

Job summary

Bank of America is seeking a Quantitative Analyst to join the Global Commodities Index Products (GCIP) trading desk in New York. The role focuses on developing scalable Python platforms, building indices and backtesting capabilities, and delivering production-ready analytics to support trading decisions.

You will collaborate across trading, index structuring, sales and technology, contribute to data pipelines, and ensure reliability and performance in a fast-paced environment.

Qualifications

• Strong degree in mathematics, statistics, CS, engineering, physics, or quantitative finance.
• Strong Python programming and software development skills.
• Experience with structured development practices (source control, testing, review).
• Rigorous problem-solving and data quality control mindset.
• Interest in production-quality quantitative platforms and business-facing work.

Responsibilities

• Develop and maintain the Python platform supporting commodities investible indices.
• Implement new indices, strategies, 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.
• Collaborate with trading, structuring, sales, and technology to deliver priorities.

Skills

Python programming

Software development

Problem solving

Data quality

Production-grade platforms

Communication skills

Education

Bachelor's degree or greater in related field

Tools

SQL

KDB+/Q

APIs

Databases

Large-scale data processing

Job description

Bank of America is seeking a Quantitative Analyst to join the Global Commodities Index Products (GCIP) trading desk in New York. The role focuses on developing scalable Python platforms, building indices and backtesting capabilities, and delivering production-ready analytics to support trading decisions.

You will collaborate across trading, index structuring, sales and technology, contribute to data pipelines, and ensure reliability and performance in a fast-paced environment.