Product Manager - Trading Research & Analytics

Posted 8 hours 50 minutes ago by Bloomberg L.P.

Permanent
Not Specified
Research Jobs
London, United Kingdom
Job Description

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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