Head of Analytics Engineering: AI-Powered Finance Platforms

lseg

Greater London

On-site

GBP 140,000 - 190,000

Full time

3 days ago
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Job summary

London Stock Exchange Group (LSEG) seeks a Head of Analytics Engineering to drive strategy, design, and delivery of analytics products across asset classes, pricing and risk, with AI/ML embedded into scalable, production-grade systems. You will lead engineering across real-time and batch workloads and partner with Product, Research and Commercial leadership to deliver impactful outcomes.

The role combines financial domain expertise with large-scale distributed systems engineering, owning the

Qualifications

  • Master's degree in computer science or computer engineering.
  • Deep expertise in scaling analytics computations for financial markets.
  • Strong programming in Python, Java and C++ with experience building distributed data systems.
  • Experience with AI/ML systems and production deployment, including model lifecycle management.
  • Experience with a financial data provider, exchange, sell-side institution, or quantitative firm.

Responsibilities

  • Define and execute the Analytics Engineering strategy for a portfolio of analytics products, aligned to the Data and Analytics Product Engineering unit.
  • Lead the architecture, design, and delivery of production-grade analytics products (pricing, risk) across real-time and batch use cases.
  • Set and enforce engineering best practices across code quality, testing, and observability.
  • Drive integration of AI/ML into analytics products with path to production, monitoring and governance.
  • Collaborate with Sales, Product, Research and Data Platforms to deliver scalable analytics capabilities.

Skills

Python
Java
C++
Distributed systems
AI/ML

Education

Master's degree in computer science or computer engineering

Job description

London Stock Exchange Group (LSEG) seeks a Head of Analytics Engineering to drive strategy, design, and delivery of analytics products across asset classes, pricing and risk, with AI/ML embedded into scalable, production-grade systems. You will lead engineering across real-time and batch workloads and partner with Product, Research and Commercial leadership to deliver impactful outcomes.

The role combines financial domain expertise with large-scale distributed systems engineering, owning the

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