CCB-Risk Portfolio Risk Modeling – Associate
This role is a member of the Portfolio Risk Modeling team, expected to support critical statistical development projects and related analysis. The incumbent candidate will have the following roles and responsibilities.
- Design, develop, test, and validate statistical models for risk weight calculation, risk forecast and model performance monitoring.
- Utilizing 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, etc.
- Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting.
- Proactively communicate and collaborate with line of business partners and model end-users to analyze and meet analysis and reporting needs.
Qualifications
- 3+ years’ statistical modeling experience in the financial services industry; Knowledge of regulatory modeling (IFRS9 / CECL / CCAR / Basel) preferred.
- Proficiency in advanced analytical languages such as SAS (Preferred), R, Python.
- A Master’s or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering, or Information Technology.
- Strong analytical and problem-solving skills
- Strong organization and time management skills. Must have the ability to deliver high-quality results under tight deadlines.
- Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results.
- Strong communication skills.