Must have skills:
1. Proficient in SAS tools, SAS Integration.
2. Proficient in predictive modelling, data analytics, logical/ linear regression.
3. Strong knowledge in concepts like IFRS9, Credit risk, Impairment and strategy development.
What were looking for :
- A degree in an analytical/business related discipline
- Ability to generate insights from data, assess the commercial / financial impact and recommend action
- Experience analyzing programmes through the lens of risk management
- Understanding of statistical methods to enable appropriate interpretation of results
- Comprehensive knowledge and effective use of analytical tools including SQL and SAS.
- Familiarity with risk reporting and risk management models.
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