Model Validation Specialist — Mortgage Risk (Hybrid)

Leeds Building Society; Leeds; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Annual bonus up to 12%

Hybrid working

Pension contributions up to 10%

26 days holiday + bank holidays + 5‑p,

Mortgage & Saver products

EV/Cycle to Work scheme

Volunteer days

Job summary

Leeds Building Society is seeking a Model Validation Specialist for a 12-month fixed term contract in our Risk division. You will perform independent validation across residential mortgage IRB and other credit models to ensure soundness, proper implementation and regulatory compliance.

The ideal candidate has strong Python/SAS/SQL skills, experience in credit risk model validation within financial institutions, and excellent communication to explain complex issues to non-technical stakeholders.

Qualifications

• Experience in credit risk / IRB model development or validation within a financial institution.
• Understanding of residential mortgage portfolios, risk drivers and lifecycle credit risk behaviour.
• Experience with model performance metrics and validation techniques.
• Knowledge of model risk management regulatory requirements (preferred).
• Excellent written and verbal communication skills; ability to convey complex issues to non-technical stakeholders.
• High levels of independence, integrity and professional judgement.
• Self-motivated with good planning and organisational skills.

Responsibilities

• Perform independent model validation reviews of residential mortgage IRB and other credit-related models.
• Provide oversight of models to ensure concept soundness, proper implementation and regulatory compliance; support validation of other financial models as required.

Skills

Analytical thinking

Attention to detail

Communication skills

Independence & judgement

Tools

Python

SAS

SQL

Job description

Leeds Building Society is seeking a Model Validation Specialist for a 12-month fixed term contract in our Risk division. You will perform independent validation across residential mortgage IRB and other credit models to ensure soundness, proper implementation and regulatory compliance.

The ideal candidate has strong Python/SAS/SQL skills, experience in credit risk model validation within financial institutions, and excellent communication to explain complex issues to non-technical stakeholders.