Job description

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. This 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. 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 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, highimpact 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 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 ecosystems. 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/”bonus plan”). 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. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc. London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you re ready to take your career to the next level and make a significant impact, we d love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject . If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Requirements

Must-haves

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, highimpact 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 high-performing analytics engineering organization, fostering an inclusive and collaborative culture.
Ensure alignment and collaboration across teams, programmes, and senior stakeholders.
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.

Nice-to-haves

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Application prep

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Keywords to mirror

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Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness