Senior Manager - Commercial Credit Model Development (Hybrid - See Description for Potential Locations) (Commercial Credit Risk)

Location: Hybrid, requiring in-office work four days per week. Ideally based in Bridgeport, CT; other potential locations include Buffalo, NY, Baltimore, MD, Washington, DC, Wilmington, DE, Iselin, NJ, New York, NY, or another M&T corporate office. Remote work may be possible depending on the final candidate's location.

Salary: $180,900–$301,500 annual, USD

Company

M&T Bank is a banking institution using commercial credit risk models for underwriting, portfolio monitoring, regulatory compliance, capital management, and enterprise decision-making.

What you will do

• Lead the strategic design, development, implementation, governance, validation support, maintenance, and enhancement of commercial PD, LGD, EAD, and risk-rating models.
• Develop algorithms, automation, machine learning techniques, and data frameworks for segmentation, back-testing, performance monitoring, reporting, and model stability analysis.
• Develop ratings for structured finance transactions through collateral analysis, cash-flow modeling, and structural enhancement assessment.
• Determine when model redevelopment or recalibration is required and guide redevelopment efforts.
• Integrate rating models into technology platforms and communicate model assumptions, limitations, findings, and recommendations to executives, committees, business lines, legal, compliance, and risk stakeholders.
• Manage and develop 3–10 quantitative credit risk analysts and modelers, including their statistical modeling capabilities and performance.

Requirements

• 10+ years of relevant experience, including 5+ years of management or supervisory experience.
• PhD or master’s degree in mathematics, statistics, quantitative analysis, or another technical discipline; equivalent experience may substitute for a degree.
• Experience with segmentation analysis, logistic regression, decision trees, and multivariate analysis.
• 3+ years using Python, R, SAS, SQL, AI/ML, data validation tools, Git, and cloud computing platforms to build, validate, and deploy quantitative risk models.
• Strong knowledge of commercial loan and mortgage underwriting, loan structuring, C&I and CRE credit analysis, cash-flow analysis, borrowing-base analysis, and capital-structure analysis.
• Experience with structured finance credit analysis and ratings, including ABS and other securitized products, plus knowledge of banking model governance standards such as SR 11-7, SR 26-2, and OCC 11-12.

Culture & Benefits

• Hybrid work arrangement with regular collaboration in a corporate office.
• Work involves cross-functional collaboration with executive management, technology, legal, compliance, risk committees, and business lines.
• Compensation is market-informed and based on the candidate’s knowledge, skills, and experience.