Zurück zur Stellenangebote
XX
Head of Analytics EngineeringLondon Stock Exchange GroupNew York, New York, United States
XX

Head of Analytics Engineering

London Stock Exchange Group
  • US
    New York, New York, United States
  • US
    New York, New York, United States

Über

LSEG is seeking a Head of Analytics Engineering to lead the strategy, design, and delivery of analytics products and capabilities underpinning our Cross Asset, Fund, Private Markets and Predictive Analytics offerings. The role reports to the Data and Analytics Engineering CIO and owns the end‑to‑end engineering of analytics capabilities across these offerings, ensuring they are scalable, production‑grade, and aligned to client workflows. Key Responsibilities
Strategy, Product & Thought Leadership
Define and execute the Analytics Engineering strategy for a portfolio of analytics products, translating customer and market needs into scalable analytics capabilities, and owning a forward‑looking roadmap in partnership with Product and Commercial teams. Contribute to LSEG’s engineering direction and market positioning as a recognised leader in analytics and data‑driven capabilities. Analytics Product Engineering & Delivery
Lead the architecture, design and delivery of production‑grade analytics products (e.g. pricing and risk) for real‑time and batch use cases. Set and enforce engineering best practices across code quality, testing and observability. Own delivery of complex, high‑impact programmes, providing strategic technical leadership to guide architecture and critical design decisions. Drive integration of AI/ML into analytics products, ensuring effective production paths, monitoring and governance, and evaluate and adopt emerging technologies to enhance commercial value. Domain Leadership
Apply deep expertise in fixed‑income and derivatives to shape analytics products, ensuring pricing, risk and derived metrics are accurate, performant and aligned to client workflows. Stakeholder, Commercial & Organisational Leadership
Operate with an enterprise mindset, partnering with Sales, Product, Research, Data Platforms, Communities and adjacent Engineering teams to deliver outcomes that scale beyond a single domain. Build trusted, high‑impact relationships, influence without authority, translate complex technical concepts into clear business insights, and lead a high‑performing analytics engineering organization that fosters an inclusive and collaborative culture. Qualifications & Experience
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. Strong programming expertise (Python, Java, C++) with proven experience building distributed data and analytics systems, including high‑throughput pipelines and low‑latency computation. Strong understanding of AI/ML systems and production deployment, including model lifecycle management. Experience within a financial data provider, exchange, sell‑side institution or quantitative firm with a comparable data and analytics ecosystem. Career stage appropriate for a Group Director. Compensation and Benefits
Anticipated base salary: $231,400 – $385,800 (varies by location). Eligible for an annual incentive plan. Full LSEG Benefits program includes annual wellness allowance, paid time‑off, medical, dental, vision, health savings, 401(k) with company match, life and disability insurance, and more. Equal Opportunity Employer
LSEG is a proud equal‑opportunity employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, pregnancy or disability and provide reasonable accommodations for religious practices and disability needs.
#J-18808-Ljbffr
  • New York, New York, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.