Bloomberg Industry Group

Product Manager – Trading Research & Analytics

13 June 2025
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Job Description

Product Manager – Trading Research & Analytics

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 – 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