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AI & Model Evaluation Product Director

LSEG (London Stock Exchange)

GBR-London-5 Canada Square permanent

Posted: May 1, 2026

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Quick Summary

AI & Model Evaluation Product Director is responsible for developing and implementing AI and model evaluation products, working closely with cross-functional teams to deliver high-quality solutions that meet customer needs. The ideal candidate will have a strong background in AI, machine learning, and data science, as well as excellent communication and project management skills.

Job Description

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge, and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. 

Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

Our People:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential.

We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives.  We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise.

As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

Role Purpose:

We are seeking an experienced AI & Model Evaluation Manager to lead the evaluation, validation, and governance of advanced AI, machine learning, and statistical models across our Active Data Layer programme of development.

This role blends technical depth, strategic leadership, and strong stakeholder management, ensuring that our models are accurate, reliable, safe, and aligned with regulatory and organisational standards.

You will oversee the end-to-end lifecycle of model evaluation - ranging from large language models (LLMs), agentic systems, and machine learning models used across Risk Intelligence to source, determine, match, and resolve model-driven data tasks within our Financial Crime and Screening domains.‑to‑end lifecycle of model evaluation.

You will act as the product owner of the AILab and associated analytics infrastructure supporting our ADL models, working in close partnership with technology leads on the development and implementation of these new capabilities.

As a senior member of the Data & Product team, you will partner closely with engineering and architecture teams, including Data Science, AIOps, as well as the wider business functions such as Risk & Compliance, Legal, and Content Operations to ensure our data capabilities are accurate, fair, robust, auditable, and business-effective.

In addition, you will use your experience to shape best practices, drive innovation, and influence broader AI and model governance frameworks.

Key Responsibilities:

AI & ML Model Evaluation

• Lead the design and execution of evaluation methodologies for LLMs, multimodal systems, AI agents, and traditional ML models.

• Oversee scenario based testing, regression suites, multiturn agent simulations, and automated evaluation systems such as LLMasJudge and hybrid scoring approaches.‑based testing, regression suites, multi‑turn agent simulations, and automated evaluation systems such as LLM‑as‑Judge and hybrid scoring approaches.

• Build, refine, and maintain frameworks that assess model quality, robustness, performance, safety, explainability, and reliability at scale.

Model Validation & Governance

• Direct the independent review and validation of models across teams, ensuring compliance with internal LSEG governance standards and processes, and relevant regulatory expectations.

• Maintain a robust model inventory, validation documentation, and version controlled evidence supporting approval and audit requirements.‑controlled evidence supporting approval and audit requirements.

• Serve as a subject matter expert on model risk & decision methodologies (as applicable), AI evaluation patterns, and modelling frameworks.

Experimentation & Monitoring

• Oversee the development and operation of online and offline experimentation platforms, including A/B testing, shadow deployments, canary releases, and continuous monitoring.

• Embed evaluation and experimentation into CI/CD pipelines, enabling automated quality gates and reliable release processes for model-driven products.

• Implement observability practices that track model drift, degradation, safety issues, and agent behaviour over time.

Leadership & Strategy

• Work collaboratively within a cross-functional high-performing team, fostering innovation, technical excellence, and a collaborative culture.

• Define and execute strategic direction for AI evaluation, model risk management, and model governance frameworks.

• Partner with product, engineering, research, risk, compliance, and senior leadership across the organisation to influence AI development practices and decision-making.

• Represent the function in internal and external audits, regulatory engagements, and cross-functional governance forums.‑functional governance forums.

Stakeholder Engagement

• Act as a trusted advisor to model owners, developers, and business leaders—translating complex technical findings into actionable insights.

• Support change management across the organisation to drive consistency in evaluation standards, documentation quality, and responsible AI adoption.

Required Experience & Qualifications

• Bachelor's, Master’s, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field.

• Significant professional experience (typically 7–12+ years) in AI/ML product development / management, model validation, quantitative research, risk modelling, or related areas.

• Demonstrated success working with technical teams or senior specialists in high‑stakes modelling environments.

• Deep understanding of AI/ML systems—including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques.

• Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks.

• Familiarity with model evaluation tooling, experimentation frameworks, and modern ML infrastructure.

• Excellent communication skills, with the ability to present complex findings clearly to both technical and non‑technical audiences.

Preferred Experience & Qualifications:

• Experience in B2B data or RegTech environments.

• Experience managing AI systems in production environments or high‑scale data and ML platforms.

• Experience in working with teams in MLOps, DevOps, or large‑scale compute environments (e.g., GPU clusters, cloud orchestration, Kubernetes).

• Experience with Generative AI evaluation, agent testing, or AI safety frameworks.

• Track record of partnering with regulatory bodies or leading audit‑readiness efforts.

What Success Looks Like

• Models across the organisation consistently meet high standards of quality, safety, performance, and compliance.

• The business benefits from reliable model-driven decisions, underpinned by transparent, well‑governed evaluation practices.

• The team operates with excellence, delivering high‑impact insights, innovative evaluation techniques, and robust model validation outcomes.

• Stakeholders across engineering, risk, and product view the function as a strategic partner and trusted authority.

Career Stage:

Director

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.

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