Multi-Asset QIS & Commodity Index Lead

Bloomberg; Greater London; Hybrid; GBP 100,000 - 150,000; Full time

Job summary

Bloomberg in London is expanding its Multi-Asset Product Development team to design and implement Bloomberg's commodity-inclusive indices and QIS strategies across asset classes.

This role sits at the intersection of research, product and engineering, requiring strong quantitative skills, Python proficiency, and the ability to translate client requests into scalable production-ready solutions.

Qualifications

• 5+ years of experience in index development, QIS, systematic strategies, or related product development.
• Hands-on experience building end-to-end backtests or quantitative strategy simulations.
• Strong understanding of commodities within multi-asset portfolios.
• Proficient in Python with ability to prototype ideas to production.
• Experience handling large datasets and financial market data.

Responsibilities

• Design, backtest, implement and enhance multi-asset indices and QIS solutions.
• Translate client requests into structured implementation plans.
• Collaborate with Engineering and Production teams to automate strategies.
• Evaluate data inputs and governance for index events.
• Present findings to clients and internal stakeholders.

Skills

Python

Quantitative analysis

Communication skills

Education

Bachelor's/Master's in Finance/Engineering/Mathematics/Physics/Computer Science/Statistics/Economics

Tools

SQL

Git

Job description

Bloomberg in London is expanding its Multi-Asset Product Development team to design and implement Bloomberg's commodity-inclusive indices and QIS strategies across asset classes.

This role sits at the intersection of research, product and engineering, requiring strong quantitative skills, Python proficiency, and the ability to translate client requests into scalable production-ready solutions.