
Risk Analytics Specialist
3 days ago
As a Portfolio Risk modelling professional, you will have the opportunity to drive regulatory model development, execute and prepare model surveillance, and provide insights for various regulatory requirements.
- Develop statistical models for risk forecast and model performance monitoring in Cards' Unsecured Lending portfolio
- Utilize graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, Survival Hazard Rate Models etc.
- Design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting
- Process, cleanse, and verify the integrity of data used for analysis
- Perform deep dive analysis to address ad hoc inquiries
Required Qualifications:
- Masters or PhD degree in a quantitative discipline
- Minimum 6+ years of hands-on work and research experience of advanced analytical skills in the areas of statistical modeling and data mining
- Proficiency in advanced analytical languages such as SAS, R, Python, PySpark
- Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata
- Ability to deliver high-quality results under tight deadlines
- Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results
Preferred Qualifications:
- Knowledge of regulatory modelling (IFRS9/CECL/CCAR)
Benefits:
- Opportunity to develop expertise in risk modelling and forecasting
- Chance to work on cutting-edge projects and technologies
- Collaborative and dynamic work environment
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