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- Tasks: Lead product development for trading tools and analytics, collaborating with diverse teams.
- Company: Bloomberg is a key player in global financial markets, providing real-time data and analytics.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Shape the future of finance with cutting-edge tools that empower traders and enhance market efficiency.
- Qualifications: 4+ years in fintech, strong knowledge of trading workflows, and a quantitative background preferred.
- Other info: Bloomberg values diversity and is committed to an inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
We\’re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to a one-person hedge fund – we\’re an integral part of the financial markets’ workflow in every corner of the world. We provide our users with real-time market data and analytics and connect them with trading counterparties and the wider community of Bloomberg Terminal subscribers.
Our Trading Research & Analytics team is composed of experts in Equities, Fixed Income, and FX trading and quantitative research. We are focused on transforming the financial industry by creating cutting-edge trading tools that enhance efficiency and drive performance. Our decision-support products and advanced models empower thousands of traders, portfolio managers, and CIOs on both the buy-side and sell-side.
As we continue to grow, we\’re seeking a quantitatively minded Product Manager to shape and lead the development of impactful solutions. We are looking for a strategic thinker and a good listener who can translate complex user needs into actionable product roadmaps while aligning cross-functional teams—including engineering, marketing, and sales—around a shared vision.
What\’s the role?
As a Product Manager on the Trading Research & Analytics team, you will define product requirements and drive initiatives across a variety of trading-focused solutions, including pre- and post-trade analytics, trading pricing and benchmarks, Broker-Algorithm selection and other quantitative trading decision tools. You\’ll work closely with clients, quantitative researchers, developers, and commercial stakeholders to deliver products that are data-driven, differentiated, and valuable to our customers.
We’ll trust you to:
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Define product requirements based on market research, customer feedback, and internal analysis
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Research and prototype quantitative models and see through the implementation with the engineering team
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Act as the bridge between quantitative research, engineering, sales and clients to deliver innovative and timely solutions
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Collaborate closely with sales and marketing teams to shape go-to-market strategies, support customer engagement, and ensure value propositions are well understood
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Answer client questions about our quantitative models and decision support tools
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Define and monitor SLAs for product performance and delivery
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Own the product roadmap and lead the lifecycle from ideation through design, development, launch, and iteration
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Communicate regularly with stakeholders at all levels, presenting updates, collecting feedback, and driving alignment
You’ll need to have:
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4+ years of experience in developing products within financial technology or capital markets
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Strong microstructure expertise in global equity markets
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Deep understanding of trading workflows, execution algorithms, TCA methodologies, and market analytics tools
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Excellent communication skills and ability to collaborate across quantitative, commercial, and technical teams
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Experience defining and enforcing SLAs, KPIs, and success metrics
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Working knowledge of statistics and ability to maintain in-depth technical discussion with customers who are quants
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A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred
We\’d love to see:
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MS or PhD in a quantitative field
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Multi-asset experience
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Programming experience, preferably with Python
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Knowledge of Machine Learning Algorithms
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
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Product Manager - Trading Research & Analytics London, GBR Posted today employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager - Trading Research & Analytics London, GBR Posted today
✨Tip Number 1
Familiarise yourself with Bloomberg's products and services, especially those related to trading research and analytics. Understanding their offerings will help you articulate how your skills and experience align with their needs during discussions.
✨Tip Number 2
Network with current or former employees of Bloomberg, particularly those in the Trading Research & Analytics team. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Stay updated on the latest trends in financial technology and quantitative trading. Being knowledgeable about current market dynamics and innovations will demonstrate your passion for the industry and your readiness to contribute effectively.
✨Tip Number 4
Prepare to discuss specific examples of how you've successfully managed product development in a quantitative environment. Highlighting your experience with SLAs, KPIs, and cross-functional collaboration will showcase your fit for the role.
We think you need these skills to ace Product Manager - Trading Research & Analytics London, GBR Posted today
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Product Manager position. Tailor your application to highlight relevant experience in financial technology and product development.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 4+ years of experience in developing products within financial technology or capital markets. Include specific examples of how you've defined product requirements and collaborated with cross-functional teams.
Showcase Technical Skills: If you have a quantitative or technical background, be sure to mention it. Highlight any programming experience, particularly with Python, and your understanding of statistics and trading workflows, as these are crucial for the role.
Craft a Compelling Cover Letter: Use your cover letter to convey your passion for the financial markets and your strategic thinking abilities. Discuss how you can translate complex user needs into actionable product roadmaps and your approach to collaborating with various teams.
How to prepare for a job interview at Bloomberg L.P.
✨Understand the Financial Landscape
Make sure you have a solid grasp of the financial markets, especially in equities, fixed income, and FX trading. Familiarise yourself with current trends and challenges in these areas, as this knowledge will help you engage meaningfully during the interview.
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative models and analytics tools. Highlight any relevant projects or achievements that demonstrate your ability to translate complex data into actionable insights, as this is crucial for the role.
✨Communicate Effectively
Since the role requires collaboration across various teams, practice articulating your thoughts clearly and concisely. Be ready to explain technical concepts in a way that non-technical stakeholders can understand, showcasing your communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making process. Think of examples from your past experiences where you successfully defined product requirements or managed cross-functional teams, and be ready to discuss them in detail.
