Model Validation Specialist - Financial Risk (Hybrid)

Leeds Building Society; Leeds; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid in-office

Bonus up to 12%

Pension match 10%

26 days holiday

Volunteer days

Mortgage and Saver products

Job summary

Leeds Building Society is seeking a Model Validation Specialist to validate and supervise financial risk models and deterministic methods. You will work with the Model Validation Lead to ensure models are conceptually sound and compliant with policies and regulations.

You will prepare validation reviews, documents, and committee materials, collaborating across risk, finance and internal audit, while developing challenger analytics using Python and AI techniques.

Qualifications

• Experience of model validation and/or model development within financial services.
• Knowledge of model classes such as residential mortgage IRB models (PD, LGD and EAD), scorecards, IFRS 9, affordability, forecasting, stress testing, market risk, capital or liquidity.
• Strong numerical and analytical skills with the ability to structure problems and draw conclusions from data.
• Practical programming and data-handling experience using Python, SQL, SAS, R or similar tools.
• Understanding of model risk drivers, statistical techniques and validation approaches.

Responsibilities

• Deliver independent validation reviews of key models and deterministic quantitative methods through analysis, testing and evidence gathering.
• Prepare clear review documentation and committee materials; maintain communication with model owners.
• Support the model risk management framework and contribute to climate risk modelling and scenario analysis.

Skills

Model validation

Numerical analysis

Python

SQL

Communication

Project management

Tools

Python

SQL

SAS

R

Job description

Leeds Building Society is seeking a Model Validation Specialist to validate and supervise financial risk models and deterministic methods. You will work with the Model Validation Lead to ensure models are conceptually sound and compliant with policies and regulations.

You will prepare validation reviews, documents, and committee materials, collaborating across risk, finance and internal audit, while developing challenger analytics using Python and AI techniques.