Senior Manager, Credit Model Development – Commercial Scorecard Development & Maintenance

M&T Bank

Senior Manager overseeing the strategic design, development, and implementation of Commercial Risk Rating and Scorecard Models. Leading a team in a hybrid role with a focus on credit risk management at M&T Bank.

Posted 7/15/2026full-timeBridgeport • Connecticut, Maryland, New Jersey, New York, Virginia, Washington • 🇺🇸 United StatesSenior💰 $180,900 - $301,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing credit underwriting models using advanced statistical techniques and programming languages. Proficient in managing teams and communicating complex quantitative concepts effectively to diverse stakeholders.

Highest-signal resume keywords

Model Development Using Segmentation AnalysisLogistic RegressionDecision TreesPython ProgrammingCommercial Loan Underwriting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical ModelingData ValidationCash Flow ModelingMultivariate AnalysisAutomation TechniquesMachine LearningData MiningCredit Risk AnalysisPerformance Monitoring

Soft Skills

Excellent CommunicationCross-Functional CollaborationTeam ManagementAnalytical SkillsProblem-Solving

Tools & Technologies

SASSQLAI/MLGitCloud Computing PlatformsStatistical SoftwareCore Bank Process System

Industry Keywords

Commercial PDLGD Credit UnderwritingStructured Finance TransactionsModel Governance StandardsWholesale ProductsOCC 11-12SR11-7SR26-2Commercial & Industrial Credit UnderwritingCommercial Real Estate Credit Analysis

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Oversee the development, implementation, and maintenance of the framework for Commercial PD and LGD credit underwriting models for the institution using internal/external data/environment, next gen technologies, and agile modeling principles
Develop algorithms and tools for testing overall performance, robustness, stability, and ongoing monitoring of the model to ensure compliance of models to internal/external regulations
Adapt automation and machine learning techniques, data frameworks, and implementation platforms to build scalable modeling solutions across data mining, segmentation, back testing, reporting and ongoing monitoring areas to speed up the model development process
Develop credit ratings to structured finance transactions, by performing collateral analysis, cash flow modeling, and structural enhancement assessments
Determine when redevelopment or recalibration is needed based on changes in market conditions/regulations/strategy and guide the redevelopment efforts
Partner with Centralized Technology to ensure that Rating models are fully integrated into the appropriate platform which allows seamless delivery to the end user while providing for a stable and robust data capture process
Display organizational subject matter expertise on Rating scorecard deployment while partnering with MROC to communicate all models, ensure independent validation is scheduled, present models to committees, communicate to business lines, legal, compliance, risk committee, and all interested parties
Remediate any internal/external findings on a timely basis
Interface with a wide range of internal customers, including executive management, to explain the benefits, limitations, assumptions and requirements for proposed credit risk models, and scorecards, solutions, and strategies to implement these models as applicable
Build, manage and develop a team of modelers and quantitative analysts and track the development of their statistical modeling acumen in areas including (but not limited to) segmentation analysis, logistic regression, decision trees, and multivariate analysis
Develop and maintain a regimen of training to all users of the Rating scorecards to ensure that accurate and appropriate ratings are assigned
Develop strategies and techniques for modeling commercial credit risk in areas new to the organization
Analyze and present findings to Senior Management
Execute ad hoc analysis or projects as assigned by the Credit Risk Manager
Adhere to applicable compliance/operational risk controls in accordance with Company or regulatory standards and policies
Exercise usual authority of a manager concerning staffing, performance appraisals, promotions, salary recommendations, performance management, and terminations

Requirements

What you’ll need

Ten (10) or more years of relevant experience (inclusive of 5+ years of previous management/supervisory)
PhD or master’s degree in mathematics, Statistics, Quantitative Analysis or another technical discipline or in lieu of Master’s degree, Bachelor’s plus 12 or more years of relevant experience or in lieu of no degree, 14 or more years of relevant experience
Experience developing models using segmentation analysis, logistic regression, decision trees, and multivariate analysis
A strong understanding of Commercial Loan and Mortgage underwriting, loan structuring, and credit analysis
3+ years of experience in applying advanced programming and analytical skills using Python, R, SAS, SQL, AI/ML, data validation tools, Git, cloud computing platforms to build, validate, and deploy quantitative risk models, automate analytics, and support strategic credit risk decision making
Quantitative skills including strong analytical, financial, statistical, and model development skills
Track record of gathering, matching, and processing large data sets across continuous/categorical (structured or unstructured data)
Familiarity with model development and governance standards across the banking sector, especially related to wholesale products and lending (SR11-7, SR26-2, OCC 11-12)
Working knowledge in Commercial & Industrial (C&I) and Commercial Real Estate (CRE) credit underwriting and quantitative risk analysis including cash flow, borrowing base analysis and capital structure analysis
Demonstrated experience conducting quantitative credit analysis and rating of structured finance transactions, including ABS and other securitized products
Sophisticated knowledge of PC, Core Bank process system, database, and statistical software
Excellent Verbal and written communication, cross functional collaboration, and management skills
Ability to communicate complicated statistical concepts to a broad audience in a non-technical manner.

Benefits

Comp & perks

Health insurance
Retirement plans
Forty hours of paid volunteer time each year