VP - Credit Risk Model Development

Primary Responsibilities

- 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.

- 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 the firms 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.

- Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.

- Time management skills are needed to prioritize multiple tasks.