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 within the 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). You 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. The role involves providing effective challenge to model owners on model formulation, assumptions, and implementation, supporting policy maintenance, and managing independent validations of initial margin models, pricing models, credit rating models, stress test scenarios, liquidity and collateral risk frameworks. You will maintain model inventories, track actions, produce validation reports, and provide management information to Executive Committees such as ERC and RiskCo. Acting as the subject matter expert, you will support internal and regulatory engagements, collaborate with the LSEG Model Validation Team, Procurement, and external providers, and assist other risk managers with quantitative risk expertise. Additionally, you will help develop and maintain analytical tools to enable comprehensive risk analysis.

Experience
- Strong experience in quantitative risk, model validation, or model development within financial services
- Experience working on 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
- Educated to degree level 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