Product Manager - Trading Research & Analytics
London
Bloomberg
Bloomberg delivers business and markets news, data, analysis, and video to the world, featuring stories from Businessweek and Bloomberg News
Product Manager - Trading Research & Analytics
Location
London
Business Area
Product
Ref #
10044252
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
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
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Tags: Economics Engineering Finance KPIs Machine Learning Market research Mathematics PhD Physics Python Research Statistics
Perks/benefits: Career development
Region:
Europe
Country:
United Kingdom
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