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Product Manager - Trading Research & Analytics, London
Location: London, United Kingdom
Business Area: Product
Ref #: 10044252
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
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