LSEG is seeking aHead of Analytics Engineeringto lead the strategy, design, and delivery of Analytics products and capabilities underpinning ourCross 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 offeringsincluding pricing, risk, derived metrics, and predictive (AI/ML-driven) analyticsensuring they are scalable, production-grade, and aligned to client workflows.
This role sits at the intersection of financial domainexpertise, large-scale distributed systems engineering, and applied AI/ML, with accountability for how analytics products are engineered, productionised, and scaled across LSEG.
AI/ML underpins predictive analytics capabilities and is increasingly embedded across Cross Asset, Fund, and Private Markets offerings; this role is accountable for establishing the engineering frameworks required for model integration, deployment, monitoring, and lifecycle management at scale.
The role combines product-centric thinking with deep technical leadership, ensuring analytics capabilities are commercially differentiated, technically robust, and aligned to client needs. You will lead a high-performing organisation, shape engineering direction, and partner closely with Product,Research, and Commercial leadership to deliver impactful outcomes.
Key Responsibilities
Strategy, Product & Thought Leadership
- Define and execute theAnalyticsEngineering strategy for a portfolio of analytics products, aligned tothe Data and Analytics ProductEngineeringbusiness unit.
- Translatecustomerand market needs into scalable analytics capabilities, owning and evolving aforward-looking roadmap across analyticscomputationsand AI/ML in partnership with Product and Commercial teams.
- Contribute to LSEG27s engineering direction and market positioning as a recognised leader in analytics and data-driven capabilities.
Analytics Product Engineering &Delivery
- Lead thearchitecture,design and delivery of production-grade analytics products (e.g., pricingandrisk) 6 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.
- Providestrategictechnical leadership, guiding architecture and critical design decisions.
- Drive integration of AI/ML into analytics products, ensuring effectivepath 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 ensureanalytics outputs (e.g., pricing, riskandderived metrics) are accurate, performant, and aligned to client workflows.
Stakeholder, Commercial & Organisational Leadership
- Operate with an enterprise mindset, partnering closely withSales,Product,Research,DataPlatforms, Communitiesand adjacent Engineering teams to deliver outcomes that scale beyond a single domain.
- Build trusted, highimpact relationships across LSEG, aligningAnalyticsEngineering priorities to groupwide strategy and customer outcomes.
- Influence without authority, bringing teams together around common goals, resolving tradeoffs, and driving decisions that optimise forLSEG.
- Translate complex technical concepts into clear business insights and decisions.
- Lead and scale high-performing analytics engineeringorganization, fostering an inclusive and collaborative culture.
- Ensure alignment and collaboration across teams, programmes, and senior stakeholders.
Qualifications & Experience
- Master27s degree in computer science or computer engineeringwith 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 firmwith a comparabledataand analyticsecosystems.
Career Stage:
Group Director
Compensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $231,400 - $385,800.
Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/2bonus plan2). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG27s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
