Product Manager - Trading Research & Analytics

  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Full Time

Skills

Bloomberg
System Integration Testing
Real-time
Market Analysis
Bloomberg Terminal
Equities
Fixed Income
Foreign Exchange
Pricing
Product Requirements
Market Research
Research
Quantitative Research
Sales
Marketing
Go-To-Market Strategy
Customer Engagement
Decision Support
Roadmaps
Ideation
Presentations
Financial Technology
Capital Market
Trading
Workflow
TCA
Analytics
Communication
Collaboration
KPI
Statistics
Finance
Economics
Mathematics
Physics
Python
Machine Learning (ML)
Algorithms

Job Details

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
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