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In this role, you'll have an opportunity to use your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation.
Additionally, you'll build a solid understanding of consumer businesses, functions, systems, data environments, and processes that are necessary for the production and utilization of data.
Responsibilities:
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 Home Lending portfolio 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.
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