Product Developer – Commodities And Multi-Asset London, GBR Posted today

Bloomberg; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Job summary

Bloomberg is seeking a Product Developer for Commodities and Multi-Asset in London to help design and implement scalable, systematic indices and QIS solutions across asset classes. You will work at the intersection of research, product, and engineering, turning ideas into production-ready strategies with robust backtests and data-driven decision making.

The role emphasizes commodity exposures within diversified portfolios, collaboration with Data, Risk, and Engineering teams, and delivering

Qualifications

• 5+ years of experience in index development or related product development roles.
• Strong understanding of the commodities asset class and multi-asset portfolios.
• Experience building end-to-end backtests or quantitative strategy simulations.

Responsibilities

• Design, backtest, and implement multi-asset indices with commodity components.
• Translate research into production-ready index and QIS solutions with automation.
• Collaborate with Engineering and Sales to refine client requests and ensure feasibility.
• Source, validate, and map market data inputs across multiple systems.

Skills

Python

Quantitative analysis

Backtesting

QIS

Data handling

Education

Quantitative discipline degree

Tools

SQL

Git

Job description

Product Developer - Commodities And Multi-Asset

Location

London

Business Area

Product

Ref #

10054615

Description & Requirements

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 Bloomberg's Enterprise Data Products Group, focused on building scalable, systematic index solutions across asset classes.

What's the Role?

You will join Bloomberg's Multi-Asset Product Development team, where you will contribute to the design, backtesting, implementation and ongoing enhancement of Bloomberg's 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. You’ll 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. You'll 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, you'll understand trends in the index and QIS business, regulation, and what our customers need. You'll also be keen to learn more.

We'll trust you to:

• Communicate complex quantitative concepts clearly to both technical and non-technical audiences
• Design, backtest, and validate multi-asset, risk-premia and QIS methodologies with commodity components
• Identify and mitigate backtesting biases (e.g., survivorship bias, look-ahead bias, overfitting)
• Source, validate, and map market data inputs across multiple systems, including commodity futures and curve data
• Evaluate technical constraints, automation requirements, and scalability early in the ideation process
• Partner closely with Engineering to implement and automate indices and strategies efficiently
• Work with Sales and clients to refine custom index and QIS requests, including commodity-linked requests, and assess feasibility
• Contribute to improving internal tooling and reusable index frameworks
• Support documentation and governance processes in line with regulatory standards

You’ll need to have:

• A strong academic background in a quantitative discipline including, but not limited to, Finance, Engineering, Mathematics, Physics, Computer Science, Statistics, or Economics
• 5+ years of experience in index development, QIS, systematic strategies, quantitative analysis, or a related product development role
• Hands-on experience building and validating end-to-end systematic index backtests or quantitative strategy simulations
• Strong understanding of the commodities asset class, including futures term structure dynamics, roll yield, and sector-specific characteristics (Energy, Metals, Agriculture), and of how commodities behave within diversified multi-asset portfolios
• Strong understanding of multi-asset derivatives and systematic strategy design (e.g., futures, options, swaps), including risk-premia such as carry, trend, and curve
• Strong Python proficiency, with experience writing clean, modular, testable code
• Ability to independently prototype an index or strategy from an idea, to a validated backtest, to a product specification
• Experience working with large datasets
• Strong understanding of financial markets
• Familiarity with portfolio construction concepts and factor-based investing
• Solid understanding of backtesting methodology and common pitfalls
• Experience collaborating with Engineering teams to translate research into production systems
• Clear communication skills and the ability to translate client requests into structured implementation plans
• Working knowledge of benchmark regulations (e.g., BMR, IOSCO principles) and day-to-day governance determinations for index events

We’d like you to have:

• Experience with SQL and structured data environments
• Familiarity with performance optimization and vectorized computation
• Hands-on experience applying optimizers to portfolio construction (e.g., mean-variance, risk-budgeting, constrained optimization), including handling of constraints and turnover
• Exposure to QIS products distributed through banks, including familiarity with the structures and payoffs they are typically embedded in
• Understanding of how indices and QIS are monetized (ETFs, structured products, licensing)
• Experience with version control tools (e.g., Git)

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [e-mail]