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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. Support senior staff in conducting pre- and post-implementation validation of risk models, including Retail/Non-Retail scorecards, PD, EAD and LGD and MFRS 9 models.
2. Assist senior staff in performing comprehensive qualitative and quantitative assessments of model development processes and performance.  
3. Contribute to the preparation of documentation of validation approaches, findings, and analysis.
4. Support the recommendation of potential improvements or enhancements based on validation outcomes.
5. Assist in tracking the progress of corrective actions and provide regular updates to senior staff.
6. Support senior staff in communicating validation results effectively to model development teams and other stakeholders.
7. Assist in addressing concerns from auditors and regulators regarding model compliance and performance, under guidance.
8. Assist in reviewing and updating internal model validation policies to align with regulatory requirements and industry best practices. 

Requirements:

1. Minimum of 5 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. Some experience in SAS or SQL for data analysis. Familiarity with 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. Basic awareness or willingness to learn about regulatory frameworks related to model validation (e.g., Basel Accords, MFRS 9).