Senior Analytics Engineering Leader for AI & Pricing

London Stock Exchange Group

New York (NY)

On-site

USD 231,000 - 386,000

Full time

6 days ago
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Benefits offered by this job

Annual Incentive Plan
Healthcare
Pension/Retirement plan
Sustainability initiatives

Job summary

London Stock Exchange Group in New York City seeks a Head of Analytics Engineering to define and execute the analytics engineering strategy across pricing, risk, derived metrics and AI/ML-driven analytics. You will lead architecture, delivery, and governance for scalable, production-grade analytics products and partner with Product, Research and Commercial leadership to shape roadmaps.

The role combines domain expertise in fixed income/derivatives with deep systems engineering and leadership to

Qualifications

  • Master's degree in CS or Computer Engineering and deep expertise in scaling analytics for financial markets.
  • Strong programming in Python, Java, C++ with experience building large-scale data and analytics systems.
  • Proven experience with AI/ML production deployment and model lifecycle management.

Responsibilities

  • Define and execute the Analytics Engineering strategy for a portfolio of analytics products.
  • Lead architecture, design and delivery of production-grade analytics products (pricing, risk).
  • Set engineering best practices for code quality, testing, observability, and delivery of complex programs.
  • Drive AI/ML integration into analytics products with production readiness, monitoring and governance.
  • Lead and scale a high-performing analytics engineering organization and partner with product, research and commercial teams.

Skills

Python
Java
C++
AI/ML systems
Distributed data systems

Education

Master's degree in Computer Science or Computer Engineering

Job description

London Stock Exchange Group in New York City seeks a Head of Analytics Engineering to define and execute the analytics engineering strategy across pricing, risk, derived metrics and AI/ML-driven analytics. You will lead architecture, delivery, and governance for scalable, production-grade analytics products and partner with Product, Research and Commercial leadership to shape roadmaps.

The role combines domain expertise in fixed income/derivatives with deep systems engineering and leadership to

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