** WORK LOCATION/ARRANGEMENT: THIS IS A HYBRID POSITION REQUIRING IN-OFFICE WORK
FOUR DAYS EVERY WEEK. IDEALLY, IT WILL BE BASED IN BRIDGEPORT, CT BUT IT MAY BE
BASED IN BUFFALO, NY, BALTIMORE, MD, WASHINGTON, DC, WILMINGTON, DE, ISELIN, NJ,
OR POSSIBLY IN NEW YORK, NY OR ANOTHER M&T CORPORATE OFFICE.
** DEPENDING UPON THE LOCATION OF THE FINAL CANDIDATE, THERE MIGHT BE POTENTIAL
FOR REMOTE WORK.
OVERVIEW:
The Manager, Commercial Scorecard & Risk Rating Modeling is responsible for
leading the strategic design, development, implementation, governance,
validation support, maintenance, and ongoing enhancement of the Bank’s
Commercial Risk Rating and Scorecard Models used for credit risk management,
portfolio monitoring, regulatory compliance, capital management, and other
enterprise-wide initiatives. Establishes the long-term vision and roadmap for
commercial credit risk modeling frameworks, ensuring models remain robust,
predictive, compliant, and aligned with evolving business objectives and
regulatory expectations. Provides subject matter expertise and leadership for
the Bank’s commercial underwriting and risk quantification models, with
particular focus on Probability of Default (PD), Loss Given Default (LGD),
Exposure at Default (EAD), and risk rating scorecards.
Oversees the full model
lifecycle, including model development, calibration, performance monitoring,
back-testing, testing, implementation, documentation, governance, and continuous
improvement.
The Commercial Scorecard group is a critical component of the Credit Risk
Department.
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.
This is mission critical information that is utilized
internally across the organization and externally by the Bank Examiners, Outside
Accountants, rating agencies and the investment community.
The 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.
This role is highly technical in nature and requires demonstrated attention to
detail execution and follow up on multiple initiatives within the Credit Risk
department. The ability to identify, analyze, rationalize and communicate
complex business problems and recommend solutions is a key factor of success in
this role. Success in this role requires the ability to use analytics in a
collaborative effort across multiple functions and products to derive optimum
solutions to business problems.
Primary Responsibilities:
* 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.
Supervisory/ Managerial Responsibilities:
Direct management responsibility for 3 – 10 Quantitative Credit Risk Management
Analysts and Modelers.
May have direct management responsibility for other
Quantitative Risk Managers
Education and Experience Required:
* 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.
M&T Bank is committed to fair, competitive, and market-informed pay for our
employees. The pay range for this position is $180,900.00 - $301,500.00 Annual
(USD). The successful candidate’s particular combination of knowledge, skills,
and experience will inform their specific compensation.
LOCATION
Bridgeport, Connecticut, United States of America
