Location
London

Hours
Full Time

Salary
Negotiable

About the Role
The Model Validation Manager is a key role within the Chief Risk Office (CRO) function, reporting to the Quantitative Analysis and Model Validation Director as part of the broader Market Risk Team. This role covers all clearing services at LCH Ltd, including SwapClear, Listed Rates, ForexClear, RepoClear, EquityClear, and CaLM (Collateral and Liquidity Management). The successful candidate will manage the execution of the annual LCH Ltd Model Validation cycle, including off-cycle material model change reviews, ensuring compliance with regulatory and policy timelines. You will provide effective challenge to model owners on model formulation, assumptions, and implementation, and support the maintenance of relevant market risk policies such as Model Governance Validation & Review.

Responsibilities include managing independent validations of initial margin models, pricing models, credit rating models, stress test scenarios, liquidity and collateral risk frameworks, and related risk procedures. This involves collaboration with the LSEG Model Validation Team, Procurement, and external model validation providers. You will maintain an up-to-date model inventory, track actions, produce model validation reports, and provide management information to Executive Committees such as ERC and RiskCo.

As a subject matter expert, you will provide insight on Model Validation topics for LCH Ltd in both internal and regulatory engagements, act as a quantitative risk expert supporting other risk managers, and help develop and maintain analytical tools to enable risk analysis.

Experience
- Strong experience in quantitative risk, model validation, or model development within financial services
- Experience with financial risk models and central clearing business understanding
- Proven ability to critically review risk models and challenge senior technical colleagues
- Experience managing complex deliverables with limited resources

About you
- Excellent collaboration and negotiation skills to work effectively with first line risk teams, LSEG model validation team, and external validators
- Proactive, pragmatic, and thoughtful approach to problem-solving
- Strong presentation skills to communicate model validation outcomes to senior stakeholders

Qualifications
- Degree level education in a numerical or scientific field, or equivalent experience
- Post-graduate qualifications in a quantitative field are a definite advantage
- Relevant professional qualifications would be advantageous
- Demonstrable programming expertise, preferably in Python and SQL
- Ability to produce and review technical model validation reports for senior governance audiences