- Research, dimension and manage the scope, nature, business implications, workflow, calendar, data, personnel and time requirements for development, implementation, and maintenance of credit loss underwriting models to support the bank's stress-testing, regulatory reserving, and underwriting.
- Personally participate in the development, coding, implementation, and maintenance of models.
- Develop expert knowledge and experience with Webster's data systems and tools.
- Maintain rigorous work papers during the model development process. Author reports documenting the design, development, testing and use of new models, and changes to existing models.
- Develop strong relationships with Webster lines of business, Finance, Risk & IT partners, ensuring software development and support requirements are met. ? Lead and/or participate in Model Risk Management, Executive Management, Audit, Regulatory, and inter-departmental strategic and tactical planning & progress meetings.
Required Skills & Experience
- 5-10 years of modeling/analytical experience within a commercial bank or financial institution.
- Solid knowledge of statistical theory, in particular general linear models, categorical data analysis, time series estimation, algorithmic optimization, supervised and unsupervised machine learning.
- Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Experience working with complex data structures. Ability to apply methods to real-world problems.
- Strong ability with standard office software such as Excel/VBA, PowerPoint, Tableaux and Word.
- Good business knowledge and familiarity with commercial and consumer banking products, operations, and processes.
