Perform the validation of models and assess the model risk to confirm model appropriateness and capability for a designated portfolio.
Provide effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks.
Assess the models’ capabilities, stress points and limitations; assess the associated model risk and the controls in place to mitigate identified risks.
Manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters.
Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation, and sustainment of initiatives.
Acts as a subject matter expert on relevant regulations and policies.

A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
A minimum of 7 years of experience in model development and/or validation within a financial institution, particularly in the credit risk area.
Certifications: While qualifications like CFA, FRM, PRM are helpful, they are not mandatory.
Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management.
Proficiency in a programming language such as Python, R, and SAS (Python is preferred).
Proficiency in working with relational databases – SQL or Oracle.
Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.

Senior Manager, Credit Risk Model Validation

Key skills