Head of Analytics Engineering

About the role

LSEG is seeking a Head of Analytics Engineering to lead the strategy, design and delivery of analytics products and capabilities behind its Cross Asset, Fund, Private Markets and Predictive Analytics offerings, reporting to the Data and Analytics Engineering CIO. The role covers pricing, risk, derived metrics and AI/ML-driven analytics, combining financial domain expertise, large-scale distributed systems engineering and applied AI/ML. It sits at the intersection of product thinking and technical leadership, working closely with Product, Research and Commercial teams.

Key responsibilities

• Define and execute the Analytics Engineering strategy for a portfolio of analytics products, aligned to the Data and Analytics Product Engineering business unit.
• Translate customer and market needs into scalable analytics capabilities and own a forward-looking roadmap across analytics computations and AI/ML, with Product and Commercial.
• Lead the architecture, design and delivery of production-grade analytics products such as pricing and risk, across real-time and batch use cases.
• Set and enforce engineering best practices for code quality, testing and observability, and guide architecture and critical design decisions.
• Integrate AI/ML into analytics products, covering path to production, monitoring and governance, and evaluate emerging technologies.
• Apply fixed income and derivatives expertise to ensure pricing, risk and derived metrics are accurate, performant and aligned to client workflows.
• Partner with Sales, Product, Research, Data Platforms and other teams, and influence without authority to drive decisions that serve LSEG.
• Lead and scale a high-performing analytics engineering organisation with an inclusive, collaborative culture.

Required profile

• Master's degree in computer science or computer engineering, with deep expertise in scaling analytics computations for financial markets.
• Strong domain knowledge in fixed income and derivatives, including pricing and risk concepts.
• Experience in a financial data provider, exchange, sell-side institution or quantitative firm with a comparable data and analytics ecosystem.
• Group Director career stage.

Required skills

• Strong programming in Python, Java and C++.
• Proven experience building distributed data and analytics systems, including high-throughput pipelines and low-latency computation.
• Understanding of AI/ML systems and production deployment, including model lifecycle management.

What we offer

• Anticipated base salary of $231,400 - $385,800, with eligibility for the Annual Incentive Plan (bonus plan).
• Benefits programme including wellness allowance, paid time off, medical, dental, vision, flex spending and health savings options, prescription drug plan, 401(k) with company match, and life insurance and disability benefits.