Product Manager - Trading Research & Analytics

Avature; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading company in the financial markets is seeking a Product Manager for their Trading Research & Analytics team. This role involves defining product requirements, collaborating with various stakeholders, and driving innovative solutions in the fintech space. Ideal candidates will have a quantitative background and experience in financial technology.

Qualifications

• 4+ years of experience in financial technology or capital markets.
• Strong microstructure expertise in global equity markets.
• Experience defining and enforcing SLAs and KPIs.

Responsibilities

• Define product requirements based on market research and customer feedback.
• Collaborate with engineering, sales, and clients to deliver innovative solutions.
• Own the product roadmap and lead lifecycle from ideation through launch.

Skills

Communication

Collaboration

Quantitative Analysis

Research

Market Analysis

Education

Background in finance, economics, engineering, mathematics or physics

Tools

Python

Machine Learning Algorithms

Job description

Location

London

Business Area

Product

Ref #

10044252

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:

- Programming experience, preferably with Python

- Knowledge of Machine Learning Algorithms