M&T Bank is seeking a senior model developer to lead the development and maintenance of quantitative models for credit risk, capital planning, and underwriting. The role involves addressing complex business problems through data science and statistical analysis, ensuring compliance with regulatory guidance, and providing direction to less experienced team members.
Requirements
- Minimum of 4 years’ on-the-job experience with pertinent statistical software packages; experience in SAS required.
- Minimum of 4 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
- Expertise in Python, SAS and SQL; experience rewriting SAS into Python is ideal.
- Model development experience in financial services, notably for common methodologies such as logistic regression, time series, survival analysis, boosted trees and similar machine learning methods.
- Experience with the development of underwriting scorecards and/or CCAR/CECL models is greatly valued.
- Logistical regression is highly preferred.
- Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Responsibilities
- Develop and/or lead the development of quantitative models used for credit risk, capital planning or underwriting. This includes CCAR and CECL models and underwriting scorecards.
- Lead less experienced model developers and analysts as required to meet project objectives.
- Use Python, SAS and SQL to manipulate customer loan or financial data for statistical analysis and model development.
- Employ common model methodologies such as logistic regression, time series, survival analysis, boosted trees and similar machine learning methods to create robust and flexible solutions to complex business problems.
- Work with multiple model stakeholders across different areas of the bank to create solutions that meet their business needs.
- Write comprehensive and easily readable model documentation to enable Model Risk Management and stakeholders to review all aspects of model development, including justification of model methodologies chosen, candidate models, model performance.
- Conduct business in compliance with regulatory guidance including SR (Supervision and Regulation Letters) 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc.
Other
- This is a hybrid position requiring in-office work three days every week.
- Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
- Financial services/banking industry experience required.
- Previous experience leading and directing the work of less experienced personnel
- Proven track record for being able to work autonomously and within a team environment
