Data Science Risk Model Validator
6 days ago
About Us
Standard Bank of South Africa Limited is a leading financial institution that provides innovative solutions to its clients.
The Role
We are seeking an experienced Quantitative Analyst to join our Risk Management team as a Data Science Risk Model Validator. This role will involve working with large datasets and different coding environments to review and validate Credit Risk models for the Personal and Business Banking portfolios.
Key Responsibilities
- Validate Credit Risk models against regulations and internal bank policies.
- Work with stakeholders to understand model requirements and develop validation plans.
- Analyze and interpret data from various sources, including credit reports and customer information.
- Develop and maintain databases and data visualization tools to support model validation.
- Collaborate with cross-functional teams to implement model changes and improvements.
Requirements
- Master's degree in Statistics, Mathematics, Data Science or Actuarial Science.
- Minimum 3 years' experience as a Quantitative Analyst in a Risk Management or Model Development function.
- Strong programming skills in Python or SAS, with experience in statistical modeling and data analysis.
- Excellent communication and interpersonal skills, with ability to work effectively with stakeholders at all levels.
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