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Job Purpose:
This role supports the Head of Model Validation in ensuring the integrity and robustness of risk models through independent validation processes. This includes both quantitative and qualitative assessment across a range of models to enhance our overall risk management framework.

Accountability:

1. Conduct independent pre- and post-implementation validation of risk models, including Retail/Non-Retail scorecards, PD, EAD and LGD and MFRS 9 models.
2. Perform comprehensive qualitative and quantitative assessments of model development processes and performance.  
3. Prepare thorough documentation of validation approaches, findings, and analysis.
4. Recommend actionable improvements or enhancements based on validation outcomes.
5. Track the progress of corrective actions and provide regular updates.
6. Communicate validation results effectively to model development teams, senior management, and governance committees.
7. Address concerns from auditors and regulators regarding model compliance and performance.
8. Assist in reviewing and updating internal model validation policies to align with regulatory requirements ad industry best practices.

Requirements:

1. Minimum of 8 years of experience in banking or the financial services industry, preferably in model validation or model development.
2. Degree in Statistics, Mathematics, Actuarial Science, or a related quantitative field.
3. Strong analytical and problem-solving skills.
4. Hands-on experience in SAS or SQL for data analysis. Knowledge of R or Python is an added advantage.
5. Effective written and verbal communication skills.
6. Ability to manage multiple tasks and coordinate cross-functional stakeholders.
7. Familiarity with regulatory frameworks related to model validation (e.g., Basel Accords, MFRS 9) is highly desirable.