Director, Commercial Credit Risk Modeling

M&T Bank; Bridgeport (CT); Hybrid; USD 181,000 - 302,000; Full time

Job summary

M&T Bank in Bridgeport, CT, is seeking a senior leader to drive the Commercial Scorecard & Risk Rating Modeling framework. You will guide PD/LGD modeling, risk rating scorecards, and governance, partnering across Risk and IT to deliver scalable, compliant solutions.

The role demands deep expertise in quantitative risk, model development, and cross-functional leadership to support regulatory, capital planning, and enterprise decisions.

Qualifications

• Ten or more years of relevant experience, including 5+ years in management.
• Experience developing models using segmentation analysis, logistic regression, decision trees, and multivariate analysis.
• Strong understanding of Commercial Loan and Mortgage underwriting, loan structuring, and credit analysis.
• 3+ years of applying Python, R, SAS, SQL, AI/ML, data validation tools, Git, cloud computing platforms to build, validate, and deploy quantitative risk models.
• Quantitative skills with strong analytical, financial, statistical, and model development capabilities.
• Ability to communicate complex statistical concepts to a broad audience in a non-technical manner.

Responsibilities

• Oversee the development, implementation, and maintenance of the framework for Commercial PD and LGD credit underwriting models.
• Develop algorithms and tools for testing performance, robustness, and ongoing monitoring to ensure regulatory compliance.
• Adapt automation and ML techniques to build scalable modeling solutions across data mining, segmentation, back testing, and reporting.
• Develop credit ratings to structured finance transactions, including collateral analysis and cash flow modeling.
• Determine redevelopment or recalibration needs based on market/regulatory changes and guide efforts.
• Partner with Centralized Technology to ensure models are integrated and data capture is robust.
• Present models to committees and stakeholders, and remediate findings timely.
• Interface with executives to explain model benefits, limitations, and requirements for implementation.
• Build and develop a team of modelers and quantitative analysts and track their development.
• Develop training for users of Rating scorecards to ensure accurate ratings.

Skills

Python

R

SAS

SQL

AI/ML

Git

Cloud platforms

Logistic regression

Decision trees

Multivariate analysis

Education

PhD in mathematics or statistics

Master's in mathematics or statistics

Bachelor's + 12+ years experience

14+ years experience in lieu of degree

Tools

Python

R

SAS

SQL

Git

Cloud computing platforms

Job description

M&T Bank in Bridgeport, CT, is seeking a senior leader to drive the Commercial Scorecard & Risk Rating Modeling framework. You will guide PD/LGD modeling, risk rating scorecards, and governance, partnering across Risk and IT to deliver scalable, compliant solutions.

The role demands deep expertise in quantitative risk, model development, and cross-functional leadership to support regulatory, capital planning, and enterprise decisions.