Senior Product Manager – Data & AI (London)
A growing FinTech business operating across capital markets is hiring a Senior Product Manager to lead the development of data and AI-driven products.
The firm has built a centralised data platform capturing large-scale transactional data across trading and post-trade workflows. This role will focus on transforming that data into client-facing analytics, predictive insights, and decision-support tools used by institutional market participants.
The Role
* Define and execute a Data & AI product roadmap aligned to business and client needs
* Work closely with clients to identify opportunities across trading and post-trade workflows spanning equities, fixed income, derivatives and financing markets
* Lead product discovery, translating complex market structure and workflow challenges into scalable product solutions
* Develop data products and analytics tools that provide actionable insights across the full trade lifecycle
* Own backlog prioritisation, balancing commercial value, technical complexity, and delivery timelines
* Partner closely with engineering teams to deliver high-quality, production-ready products
* Establish best practices around AI adoption, including governance, explainability, and data integrity
* Support client engagement and product positioning, acting as a subject matter expert in discussions
Requirements
* 5+ years’ experience in Product Management within FinTech, capital markets, or data-driven SaaS environments
* Strong domain knowledge across capital markets, with exposure to trading and/or post-trade workflows across asset classes (equities, fixed income, derivatives, financing, collateral)
* Understanding of how data is generated, processed, and utilised across the trade lifecycle (front-to-back is a plus)
* Proven experience building client-facing data products, analytics platforms, or decision-support tools
* Experience working with large-scale datasets and modern data architectures (e.g. data lakes)
* Good understanding of AI/ML concepts and their application to financial datasets
* Ability to translate complex market and client requirements into clear product deliverables
* Experience working in Agile environments with ownership of backlog, prioritisation, and delivery
* Strong stakeholder management skills across both technical and commercial teams