Chief Analytics Engineering & AI Production Lead

London Stock Exchange Group

United States

On-site

USD 231,000 - 386,000

Full time

6 days ago
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Benefits offered by this job

Annual Wellness Allowance
Medical
Dental
Vision
401(K) Savings Plan and Company match
Life insurance
Disability benefits
Paid time-off

Job summary

London Stock Exchange Group is seeking a Head of Analytics Engineering to lead strategy, design, and delivery of analytics products spanning Cross Asset, Fund, Private Markets and Predictive Analytics. You will own end-to-end engineering of analytics capabilities, ensuring they are scalable, production-grade, and aligned to client workflows.

You will lead a high-performing organization, shaping engineering direction and partnering with Product, Research and Commercial leadership to deliver

Qualifications

  • Master's degree in computer science or computer engineering.
  • Deep expertise in scaling analytics computations for financial markets.
  • Experience with AI/ML systems and production deployment.

Responsibilities

  • Define and execute Analytics Engineering strategy for a portfolio of analytics products.
  • Lead architecture, design and delivery of production-grade analytics products (pricing, risk) across real-time and batch use cases.
  • Drive AI/ML integration into analytics products with path to production, monitoring and governance.
  • Build and scale an analytics engineering organization with cross-functional alignment across teams.

Skills

Python
Java
C++
Distributed systems
AI/ML
Leadership
Financial domain

Education

Master's degree in computer science or computer engineering

Tools

Distributed data systems
High-throughput pipelines
Cloud platforms

Job description

London Stock Exchange Group is seeking a Head of Analytics Engineering to lead strategy, design, and delivery of analytics products spanning Cross Asset, Fund, Private Markets and Predictive Analytics. You will own end-to-end engineering of analytics capabilities, ensuring they are scalable, production-grade, and aligned to client workflows.

You will lead a high-performing organization, shaping engineering direction and partnering with Product, Research and Commercial leadership to deliver

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