Technical Product Lead

About the team

You’ll sit within Equities Product, Research & Design, currently as an individual contributor – though as the AI tool rolls out from internal users to external clients, we expect the product effort to grow into a team. Co-location in London with the Research team supports close, fast-moving collaboration.

What you’ll do

• Drive product strategy and roadmap across the Equity & Multi-Asset index offering and the AI tool, aligned to global and regional priorities.
• Collect and categorise feedback from the AI tool’s users – internal today, external as it scales – and turn it into a prioritised feature roadmap, working with Research developers to ship.
• Engage clients and run market and competitive analysis to spot demand and growth opportunities, translating requirements into index enhancements and new solutions.
• Make pragmatic prioritisation calls at speed, balancing client demand, technical effort and commercial value.
• Partner with Sales and Marketing on positioning, go-to-market and revenue growth across institutional and wealth segments.
• Bridge the engineers building the AI tool and the people who rely on it, and keep senior collaborators updated on progress.

What you’ll bring

• A genuine product-led attitude – you start from the user and the problem and own outcomes, not tasks.
• Proven ability to thrive in fast-paced, ambiguous environments, deciding quickly and reprioritising; versatile enough to switch context and pick up unfamiliar topics fast.
• Technical fluency to work credibly with software and AI/ML developers – no need to write production code, but you understand how AI products are built and shipped; experience supporting a software or data product, ideally AI/ML.
• Strong feedback-synthesis and prioritisation instincts – comfortable saying no and defending trade-offs.
• 5+ years in product, technical product or research roles, ideally in financial services or the index/data industry; familiarity with equity and/or multi-asset products, indices and benchmarks (ETFs, funds, derivatives).
• Strong analytical and communication skills, and the ability to work effectively across research, technology, sales, operations and marketing in a product-led organisation.

Education

• Degree in Finance, Economics, Engineering, Mathematics, Computer Science or a related field; a CFA or relevant technical/AI credential an advantage.
• Python coding, familiarity with data science workflows, and comfort using frontier AI tools would be a strong advantage.

Career Stage

Senior Associate

London Stock Exchange Group (LSEG) Information

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

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