At a Glance
- Tasks: Lead the strategy and delivery of innovative analytics products in finance.
- Company: Join LSEG, a global leader in financial markets and data solutions.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on inclusivity and high performance.
- Why this job: Shape the future of analytics in finance with cutting-edge AI/ML technologies.
- Qualifications: Master's degree in computer science and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
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, reporting to the Data and Analytics Engineering CIO. This role owns the end to end engineering of analytics capabilities across these offerings, including pricing, risk, derived metrics, and predictive (AI/ML driven) analytics, ensuring they are scalable, production grade, and aligned to client workflows. The role sits at the intersection of financial domain expertise, large scale distributed systems engineering, and applied AI/ML, with accountability for how analytics products are engineered, productionised, and scaled across LSEG. The role combines product centric thinking with deep technical leadership, ensuring analytics capabilities are commercially differentiated, technically robust, and aligned to client needs.
Key Responsibilities:
- Strategy, Product & Thought Leadership: 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, owning and evolving a forward looking roadmap across analytics computations and AI/ML 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) across 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, ensuring alignment across teams. Provide strategic technical leadership, guiding architecture and critical design decisions. Drive integration of AI/ML into analytics products, ensuring effective path to production, monitoring, and governance. Evaluate and adopt emerging technologies to enhance analytics capabilities and commercial value.
- Domain Leadership: Apply deep expertise in fixed income and derivatives to shape analytics products and ensure analytics outputs (e.g., pricing, risk and derived metrics) are accurate, performant, and aligned to client workflows.
- Stakeholder, Commercial & Organisational Leadership: Operate with an enterprise mindset, partnering closely 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 across LSEG, aligning Analytics Engineering priorities to groupwide strategy and customer outcomes. Influence without authority, bringing teams together around common goals, resolving tradeoffs, and driving decisions that optimise for LSEG. Translate complex technical concepts into clear business insights and decisions. Lead and scale a high performing analytics engineering organization, fostering an inclusive and collaborative culture. Ensure alignment and collaboration across teams, programmes, and senior stakeholders.
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: Group Director.
LSEG is a leading global financial markets infrastructure and data provider committed to diversity and equal opportunities.
Head of Analytics Engineering employer: Job Search Place Limited
LSEG is an exceptional employer, offering a dynamic work environment where innovation meets financial expertise. As the Head of Analytics Engineering, you will lead cutting-edge analytics initiatives while collaborating with diverse teams, fostering a culture of inclusivity and growth. With a commitment to employee development and a focus on delivering impactful solutions, LSEG provides a unique opportunity to shape the future of analytics in the financial sector.
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