Join to apply for the Product Manager - Trading Research & Analytics role at Bloomberg
Join to apply for the Product Manager - Trading Research & Analytics role at Bloomberg
Description & Requirements
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.
Location
London
Business Area
Product
Ref #
10044252
Description & Requirements
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
* Define product requirements based on market research, customer feedback, and internal analysis
* Research and prototype quantitative models and see through the implementation with the engineering team
* Act as the bridge between quantitative research, engineering, sales and clients to deliver innovative and timely solutions
* Collaborate closely with sales and marketing teams to shape go-to-market strategies, support customer engagement, and ensure value propositions are well understood
* Answer client questions about our quantitative models and decision support tools
* Define and monitor SLAs for product performance and delivery
* Own the product roadmap and lead the lifecycle from ideation through design, development, launch, and iteration
* Communicate regularly with stakeholders at all levels, presenting updates, collecting feedback, and driving alignment
You’ll Need To Have
* 4+ years of experience in developing products within financial technology or capital markets
* Strong microstructure expertise in global equity markets
* Deep understanding of trading workflows, execution algorithms, TCA methodologies, and market analytics tools
* Close familiarity with Trade Cost models
* Excellent communication skills and ability to collaborate across quantitative, commercial, and technical teams
* Experience defining and enforcing SLAs, KPIs, and success metrics
* Working knowledge of statistics and ability to maintain in-depth technical discussion with customers who are quants
* A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred
We'd Love To See
* MS or PhD in a quantitative field
* Multi-asset experience
* Programming experience, preferably with Python
* Knowledge of Machine Learning Algorithms
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Product Management and Marketing
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