Product Manager - Trading Research & Analytics

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Product Manager - Trading Research & Analytics, London

Location: London, United Kingdom

Business Area: Product

Ref #:

Job Views: 4

Posted: 29.06.2025

Expiry Date: 13.08.2025

Job Description:

We're Bloomberg. We sit at the heart of the financial markets, providing real-time market data, analytics, and connectivity to trading counterparties worldwide. Our Trading Research & Analytics team specializes in Equities, Fixed Income, and FX trading, focusing on developing innovative trading tools to enhance efficiency and performance.

We are seeking a quantitatively minded Product Manager to lead the development of impactful solutions, translating user needs into product roadmaps and coordinating cross-functional teams including engineering, marketing, and sales.

What's the role?

As a Product Manager, you will define requirements and drive initiatives for trading-focused solutions such as pre- and post-trade analytics, trading benchmarks, Broker-Algorithm selection, and other quantitative tools. You will collaborate with clients, researchers, developers, and stakeholders to deliver data-driven, valuable products.

Responsibilities include:

• Defining product requirements based on research and feedback
• Researching and prototyping quantitative models with engineering support
• Bridging research, engineering, sales, and clients to deliver solutions
• Supporting go-to-market strategies and customer engagement
• Responding to client inquiries about models and tools
• Monitoring product performance and SLAs
• Managing the product lifecycle from ideation to launch and iteration
• Communicating with stakeholders and driving alignment

Requirements:

• 4+ years in financial technology or capital markets product development
• Expertise in global equity microstructure
• Knowledge of trading workflows, algorithms, TCA, and market analytics
• Strong communication and collaboration skills
• Experience with SLAs, KPIs, and success metrics
• Technical background in finance, economics, engineering, mathematics, or physics

Preferred:

• MS or PhD in a quantitative field
• Multi-asset experience
• Programming skills, preferably Python
• Knowledge of Machine Learning algorithms