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LSEG

Global financial market infrastructure and data

Technical Product Lead: Global Equity and Multi-Asset Indices

Technical Product Management +1Confirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A genuine product-led attitude, starting from the user and the problem and owning outcomes rather than tasks.
  • Proven ability to thrive in fast-paced, ambiguous environments, make quick decisions, reprioritise, switch context, and quickly learn unfamiliar topics.
  • Technical fluency to work credibly with software and AI/ML developers and understand how AI products are built and shipped; production coding is not required.
  • Strong feedback-synthesis and prioritisation instincts, including comfort saying no and defending trade-offs.
  • At least 5 years in product, technical product, or research roles.
  • A degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field.
  • Strong analytical and communication skills, and ability to work effectively across research, technology, sales, operations, and marketing in a product-led organisation.

Responsibilities

  • Drive product strategy and roadmap across the Equity and Multi-Asset index offering and the AI tool, aligned to global and regional priorities.
  • Collect and categorise feedback from AI tool users, internal users today and external clients as the tool scales, and turn it into a prioritised feature roadmap while working with Research developers to ship.
  • Engage clients and run market and competitive analysis to identify demand and growth opportunities, translating requirements into index enhancements and new solutions.
  • Make pragmatic prioritisation decisions quickly, 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.

Desired Qualifications

  • Experience in financial services or the index/data industry.
  • Familiarity with equity and/or multi-asset products, indices, and benchmarks, including ETFs, funds, and derivatives.
  • Experience supporting a software or data product, ideally AI/ML.
  • A CFA or relevant technical/AI credential.
  • Python coding, familiarity with data science workflows, and comfort using frontier AI tools.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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