Product Developer – Commodities And Multi-Asset

Bloomberg is a leading provider of financial benchmarks and custom index solutions. Strategy indices have become central to capital markets powering ETFs structured products derivatives and institutional mandates. As regulatory frameworks evolve and investor demand for systematic and rules-based solutions grows we are expanding our Multi-Asset Product Development team.

This is an opportunity to join a highly collaborative and technically rigorous team within Bloombergs Enterprise Data Products Group focused on building scalable systematic index solutions across asset classes.

You will join Bloombergs Multi-Asset Product Development team where you will contribute to the design backtesting implementation and ongoing enhancement of Bloombergs Multi-Asset indices with a focus on the role of commodities within multi-asset allocation risk-premia and QIS strategies.

This role sits at the intersection of research product and engineering. You will work on index and QIS methodologies on commodities but also spanning equities rates FX and credit ensuring they are scalable robust and aligned with both client needs and platform capabilities. You will help shape how commodity exposures from carry and roll strategies to curve and trend premia are built into diversified multi-asset and risk-premia products.

You will help support research-driven innovation translate client requests into implementable index and QIS solutions and partner with Engineering and Production teams to ensure strategies are automated and production-ready. You will also contribute to systematic data assessments evaluating new datasets for fit-for-purpose use in benchmarks. This covers methodology historical behavior coverage and mappings limitations of use and the controls and platform requirements for onboarding. You will turn your findings into clear requirements that move through dedicated data working groups and into production. You will adapt your communication style to your audience and be equally adept at collaborating closely with colleagues across multiple teams including Data Enterprise Data and Risk and Compliance as well as presenting to clients and soliciting feedback. Youll be comfortable working with large and complex data sets ideally with quantitative or data science skills (e.g. Python) and have a gift for extracting meaningful intelligence to drive innovation product direction and data-driven decisions.

This role requires strong quantitative capability technical fluency commercial awareness and a mindset focused on scalability and execution discipline. Youll be someone with the ability to approach challenges with creativity and enthusiasm; someone who has the courage to take positions advocating change and then deliver.

Regarding domain expertise youll understand trends in the index and QIS business regulation and what our customers need. Youll also be keen to learn more.