Quantitative Analyst supporting the development of credit risk models at M&T Bank. Collaborating with various teams to analyze data and ensure regulatory compliance.
Responsibilities
Provides analytical and technical support for the development, refinement, and ongoing monitoring of credit risk models used to meet regulatory requirements and support the Bank’s strategic risk management objectives.
Conduct statistical and econometric analyses using Python, SQL, and related tools to estimate, validate, and refine model components.
Prepare, clean, and analyze large‑scale loan and customer datasets, ensuring data quality and readiness for modeling.
Assist with model implementation and ongoing performance monitoring, identifying deviations and contributing to model improvements.
Develop and maintain clear, comprehensive model documentation and performance monitoring reports.
Communicate analytical findings through visualizations, presentations, and written summaries.
Collaborate with Credit Risk Management, Model Risk Management, and business partners to ensure model alignment with regulatory expectations.
Requirements
Bachelor’s degree and a minimum of one year of proven quantitative behavioral modeling experience, or a combined minimum of five years of higher education and/or work experience, including at least one year of quantitative modeling experience.
Minimum of one year of on‑the‑job experience using statistical software packages such as SAS, Python, or R.
Strong Python skills required.
Model development experience required, including familiarity with logistic and linear regression techniques.
Minimum of one year of experience working in a data management environment such as SQL Server Management Studio.
Minimum of one year of experience managing and analyzing large datasets, with the ability to communicate results clearly using written, verbal, and visual formats.
Benefits
Health insurance
401(k) matching
Paid volunteer time
Job title
Credit Model Development Quantitative Analyst II – Small Business and Home Secured
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