Quantitative Commodities Analyst — Indices & Platform

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

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.