Credit Risk: To independently validate models with focus on key areas like model assumptions, design & performance, data and input, build challenger models etc. in both wholesale and/or Retail domain. Some example of the model landscape would include CCAR, PRA stress testing models, marketing, Strategy, Basel models etc.
Skill required :
Below are some of the indicative skills set required for the job:
- Master's/PhD degree in Mathematics/Statistics or any other quantitative domain.
- Must have proven financial modeling experience in Validation/Development of quantitative models.
- Strong understanding of statistical concepts used in Credit risk modeling (For Credit team)
- Good knowledge of regulatory regulations like Basel, CCAR/DFAST, PRA, SR11-7, IFRS9, CECL etc.
- Strong working knowledge of one or more statistical and mathematical programming languages (for e.g. R, SAS, Python, MATLAB)
- Good communication skills in a professional setting
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