At a Glance
- Tasks: Lead product management for innovative macro and commodity research data solutions.
- Company: Bloomberg, a leader in financial data and analytics.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Join a collaborative team focused on solving complex data challenges.
- Why this job: Shape the future of investment research with cutting-edge data solutions.
- Qualifications: Experience in product management and strong knowledge of macroeconomic or commodity markets.
The predicted salary is between 63000 - 77000 £ per year.
- Team Lead, Product Management – Quantitative Data Solutions
- Location
- London
- Business Area
- Product
- Ref #
- 10053032
- Description & Requirements
- Macro and Commodity Research Data
Bloomberg is building a comprehensive suite of normalized, linked and point-in-time datasets for quantitative, systematic and quantamental investment research.
The portfolio brings together company fundamentals, estimates, pricing, supply-chain relationships, industry and segment-level data, macroeconomic indicators, commodity supply and demand data, and alternative data through interoperable products designed for research and production workflows.
We are establishing a new Macro and Commodity Research Data vertical and are looking for an experienced Product Manager Team Lead to define its strategy, build its product portfolio and lead its development.
This role requires a strong understanding of macroeconomic and commodity markets, the data used to analyse them, and the workflows through which investment managers turn data into signals, forecasts, portfolio decisions and risk views.
The successful candidate will also understand how AI, agentic research tools and modern data infrastructure are changing the way clients discover, evaluate and consume financial data.
You will be responsible for shaping a differentiated portfolio spanning areas such as economic releases and surveys, government auctions, commodity supply, demand and inventories, physical flows, positioning, weather, outages and other market-relevant datasets.
You will determine where Bloomberg can create distinctive client value, how the products should work together, and how the business can convert that value into sustainable commercial growth.
The Research Data business is an important part of Bloomberg Enterprise Data’s growth strategy.
Our objective is to solve complex research and data-management problems for quantitative, systematic and fundamental investment teams, while making Bloomberg data easier to discover, evaluate, integrate and use across client workflows.
- We will trust you to
- Define the strategy, positioning and multi-year roadmap for the Macro and Commodity Research Data vertical, translating market developments and client needs into clear product priorities.
- Lead and develop a team of product managers and subject-matter experts, establishing clear responsibilities, decision processes, objectives and measures of success.
- Build deep domain expertise across systematic macro, commodities and multi-asset research, including how clients combine economic, physical-market, pricing, positioning and alternative datasets to generate signals and manage risk.
- Develop a strong understanding of the commercial opportunity for the vertical, including addressable markets, client segments, competitive positioning, packaging, pricing and monetisation models.
- Own the business case for product investment by assessing client value, revenue potential, development cost, strategic differentiation and opportunity cost.
- Engage senior clients, researchers, portfolio managers, data scientists and data engineering teams to identify unmet needs, test product concepts and validate priorities.
- Translate client workflows into well-defined data products, including requirements for point-in-time integrity, historical depth, metadata, identifiers, lineage, accessibility, interoperability and production use.
- Set measurable product and commercial outcomes, monitor adoption and revenue performance, and adjust the roadmap based on evidence rather than activity alone.
- Manage product specification, prioritisation and delivery across data, engineering, sales, implementation, support and other Bloomberg teams.
- Ensure that individual products form a coherent portfolio, with common design standards and clear connections across macro, commodities, pricing, reference data and related Bloomberg content.
- Represent the vertical internally and externally, helping sales teams explain its value and building credibility with sophisticated quantitative and institutional clients.
- Stay current on developments in financial markets, systematic investment research, data science, AI-enabled workflows and the competitive data landscape.
- You will need to have
- Significant experience in product management, investment research, quantitative research, financial data or a related field, with evidence of increasing commercial and leadership responsibility.
- Strong knowledge of macroeconomic or commodity markets, preferably including experience with several of the following: economic data, rates, foreign exchange, futures, energy, metals, agriculture, physical commodity markets or alternative data.
- A practical understanding of quantitative and systematic investment workflows, from data discovery and hypothesis formation through signal development, backtesting , portfolio construction and production use.
- Experience defining product strategy, evaluating market opportunities and making commercial trade-offs across pricing, packaging, investment and portfolio priorities.
- Evidence of building, managing or developing high-performing teams.
- Strong client-facing skills and the ability to convert complex or ambiguous client problems into clear product and business decisions.
- The ability to influence across a matrixed organisation and coordinate delivery among product, data, engineering, sales, implementation and support teams.
- Strong analytical and problem-solving skills, including the ability to use evidence and commercial reasoning to secure investment and management support.
- Familiarity with modern data platforms, APIs, cloud delivery and the ways clients use Python, R or similar tools in research and data-engineering workflows.
- A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, business or a related discipline.
Python proficiency is valuable but is not the principal requirement for this leadership role.
The candidate should be technically credible, able to interrogate data and comfortable working with engineers, data scientists and quantitative clients.
We use years of experience as a guide and will consider candidates who can demonstrate the leadership, domain expertise , product judgement and commercial capabilities required for the role.
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.
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Team Lead, Product Management – Quantitative Data Solutions employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to numerous professional development opportunities while working in a cutting-edge environment that values your contributions to the data manufacturing infrastructure. Located in a vibrant city, Bloomberg provides unique advantages such as a diverse workforce and a commitment to work-life balance, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Team Lead, Product Management – Quantitative Data Solutions
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Bloomberg!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Bloomberg would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Bloomberg through your school's career services!
We think you need these skills to ace Team Lead, Product Management – Quantitative Data Solutions
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Team Lead, Product Management – Quantitative Data Solutions, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Team Lead, Product Management – Quantitative Data Solutions position at Bloomberg. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Bloomberg
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
