M&T Bank

Financial Services

CommercialScorecardQuantitativeManager

$143–239k Boston, Massachusetts, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Commercial Scorecard Quantitative Manager at M&T Bank. Skills: Commercial Risk Rating Models, Loss forecasting models, Probability of Default (PD) models, Loss Given Default (LGD) models, credit risk management, quantitative analysis. long-term strategic design, implementation, maintenance, testing and use of Commercial Risk Rating Models and Loss forecasting models. Development and Maintenance of the framework for Commercial PD and LGD credit risk models”

What You'll Achieve.

Risk Ratings are utilized in many areas of the bank and are a key driver of many enterprise level decisions such as the level of the Allowance for Loan and Lease losses, determining levels of Approval Authority and Asset Quality Metrics; ratings are also a key input into the loss forecasting models utilized for the CCAR process; Loss Forecasting models are used in Capital Plan submissions that are a critical component of sound Bank management and are subject to regulatory scrutiny under DFAST regulations

Industry & Context.

Financial Services
Problems you'll solve

analytical; financial; statistical; model development skills; identify, analyze, rationalize and communicate complex business problems and recommend solutions

Eligibility Requirements

Act as a key contact for outside parties (bank examiners, auditors)

What They're Looking For.

Must Have

Bachelor's degree and a minimum of 7 years' relevant work experience, or in lieu of a degree, a combined minimum of 11 years' higher education and/or work experience, including a minimum of 7 years' relevant work experience, Quantitative skills including analytical, financial, statistical and model development skills, 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

Nice to Have

PhD in Mathematics, Statistics, Quantitative Analysis or another technical discipline, Knowledge of Commercial Loan analysis techniques is strongly preferred

What You'll Do.

long-term strategic design

testing and use of Commercial Risk Rating Models and Loss forecasting models

Development and Maintenance of the framework for Commercial PD and LGD credit risk models

Development and Maintenance of assigned Commercial Loss Forecasting and Stress Testing models

Ensure compliance of models to all regulations

Monitor and report on performance of all models

Determine when redevelopment or recalibration is needed

Conduct internal validation and back testing of all models

Manage the output of Quantitative Analysts and Modelers

Develop and maintain a regimen of training to all users of the Rating scorecards

Specify and model the relationship between appropriate macroeconomic factors and credit risk outcomes

Develop strategies and techniques for modeling commercial credit risk in areas new to the organization

develop and deploy best credit risk practices and infrastructure bank wide

Execute ad hoc analysis or projects assigned by the Credit Risk Manager

Adhere to applicable compliance/operational risk controls

How You'll Work.

Team & Collaboration

Partner with Centralized Technology; Partner with MROC; communicate to business lines, legal, compliance, risk committee, and all interested parties; Interface with a wide range of internal customers, including executive management; cross functional collaboration; collaborative effort across multiple functions and products

Communication Scope

Excellent Verbal and written communication; Ability to communicate complicated statistical concepts to a broad audience in a non-technical manner; communicate all models; present models to committee; communicate to business lines; explain the benefits, limitations, assumptions and requirements for proposed credit risk models; Analyze and present findings to Senior Management

Process & Methodology

track the development of their statistical modeling acumen, Manage the output of Quantitative Analysts and Modelers

Full Job Description

**Location:** Available at designated bank hub locations in Buffalo, NY; Wilmington, DE; Bridgeport, CT; or Boston, MA **Overview:** Responsible for the long-term strategic design, implementation, maintenance, testing and use of Commercial Risk Rating Models and Loss forecasting models utilized for credit risk management or other enterprise initiatives and sets the strategic direction for the process of continuous enhancements. Particular emphasis is the Bank’s commercial Probability of Default (PD) and Loss Given Default (LGD) models. Act as a key contact for outside parties (bank examiners, auditors) on M&T’s Commercial Credit Risk Rating structure and process. Also, responsible for keeping up to date with industry’s best practice and changes in the field of commercial risk ratings. **Primary Responsibilities:** * Development and Maintenance of the framework for Commercial PD and LGD credit risk models for the institution. * Development and Maintenance of assigned Commercial Loss Forecasting and Stress Testing models for the institution. * Ensure compliance of models to all regulations. Monitor and report on performance of all models. * Determine when redevelopment or recalibration is needed. Conduct internal validation and back testing of all models. * Partner with Centralized Technology to ensued 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. * Partner with MROC to communicate all models, ensure independent validation is scheduled, present models to committee, communicate to business lines, legal, compliance, risk committee, and all interested parties. * 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. * Manage the outpu

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