Responsibilities
- Validate models ensuring adherence to Model Risk Management policies and regulations
- Lead validation projects for various model categories
- Perform in-depth analysis on large data sets to support key analytics and model risks
- Collaborate with business teams to highlight model risks
- Support regulatory examinations and internal audits of modeling processes
Requirements
- Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field
- 4+ years' experience in model development/model validation experience in financial services, banking, or retail
- 4+ years of hands‑on experience with data science and statistical tools including Python, R, SAS, SQL, SPARK, Data Lake, H2O, SageMaker and AWS
- 4+ years of statistical analysis and handling large data sets and analyzing for trends
- 4+ years of experience with US regulatory requirements for Model Risk Management
- Ability and flexibility to travel for business as required
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