At a Glance
- Tasks: Lead the development of innovative data products for investment research and analysis.
- Company: Join Bloomberg, a leader in financial data solutions with a diverse and inclusive culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and client success.
- Why this job: Make an impact in the finance world by shaping cutting-edge data solutions.
- Qualifications: 5+ years in product management or related fields; strong analytical skills required.
The predicted salary is between 54000 - 66000 £ per year.
Location: London
Business Area: Product
Ref #:
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 to help build and develop its product portfolio. This role requires an understanding of FX, Rates or 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, modern research tools and data infrastructure are changing the way clients discover, evaluate and consume financial data.
You will work on products spanning areas such as economic releases, auctions, prediction markets, macro risk factors, commodity supply & demand, physical flows, positioning, outages and other market-relevant datasets. You will help identify where Bloomberg can create differentiated client value, translate research workflows into product requirements and support the commercial development of the portfolio.
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.
You will need to have:
- A minimum of five years’ experience in product management, financial data, investment research, quantitative research, data analysis or a related role.
- Knowledge of macroeconomic or commodity markets, preferably including experience with one or more of the following: economic indicators, surveys, government auctions, rates, foreign exchange, futures, energy, metals, agriculture, commodity balances, physical flows, positioning or alternative data.
- Familiarity with quantitative, systematic or data-driven investment research, including how datasets are evaluated, combined and used in signal development, forecasting, backtesting or portfolio analysis.
- Experience gathering client or user requirements and translating complex workflows into clear product or technical specifications.
- Commercial judgement and an understanding of how product value is converted into adoption and revenue through effective positioning, packaging and pricing.
- Strong analytical and problem-solving skills, including the ability to assess market opportunities, evaluate trade-offs and make evidence-based recommendations.
- The ability to manage multiple priorities and coordinate delivery across product, data, engineering, sales and support functions.
- Strong written and verbal communication skills, with the ability to explain complex data and market concepts to technical and non-technical audiences.
- Familiarity with modern data platforms, APIs and cloud-based data delivery.
- Working proficiency in Python, R, SQL or another language commonly used in data analysis, quantitative research or data engineering.
- A bachelor’s degree or equivalent professional experience in economics, finance, statistics, mathematics, computer science, engineering, business or a related discipline.
We use years of experience as a guide and will consider candidates who can demonstrate the domain expertise, product judgement, commercial awareness and technical 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.
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.
Product Manager, Quantitative Data Solutions London, GBR Posted today employer: Bloomberg L.P.
Bloomberg is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration among its 20,000+ employees. With a strong focus on employee growth, Bloomberg provides rigorous training and development opportunities, ensuring that team members are well-equipped to excel in their roles. The company's commitment to diversity and inclusion, along with its cutting-edge technology and resources, makes it an attractive place for professionals seeking meaningful and rewarding careers in the financial solutions sector.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager, Quantitative Data Solutions London, GBR Posted today
✨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 L.P.!
✨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 L.P. 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 L.P. through your school's career services!
We think you need these skills to ace Product Manager, Quantitative Data Solutions London, GBR Posted today
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Manager, Quantitative Data Solutions London, GBR Posted today, 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 Product Manager, Quantitative Data Solutions London, GBR Posted today position at Bloomberg L.P.. 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 L.P.
✨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.
