Credit Model Quantitative Lead (Hybrid) at M&T Bank

Washington, District of Columbia, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Banking, Financial ServicesIndustries

Requirements

Proven experience managing and analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
Bachelor’s degree and a minimum of 4 years’ proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 8 years’ higher education and/or work experience, including a minimum of 4 years’ proven quantitative behavioral modeling experience
Minimum of 4 years’ on-the-job experience with pertinent statistical software packages; experience in SAS required
Minimum of 4 years’ on-the-job experience with data management environment, such as SQL Server Management Studio

Responsibilities

Develop and/or lead the development of quantitative models used for credit risk, capital planning or underwriting, including CCAR and CECL models and underwriting scorecards
Lead less experienced model developers and analysts as required to meet project objectives
Use Python, SAS and SQL to manipulate customer loan or financial data for statistical analysis and model development
Employ common model methodologies such as logistic regression, time series, survival analysis, boosted trees and similar machine learning methods to create robust and flexible solutions to complex business problems
Work with multiple model stakeholders across different areas of the bank to create solutions that meet their business needs, using communication skills and visual analytics to obtain requirements, present analyses, explain models, and respond to enquiries
Write comprehensive and easily readable model documentation to enable Model Risk Management and stakeholders to review all aspects of model development, including justification of methodologies, candidate models, and model performance
Conduct business in compliance with regulatory guidance including SR 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards, etc., and adhere to applicable compliance/operational/model risk controls, standards, policies, and procedures
Complete other related duties as assigned, including supporting production models with performance monitoring and analyses to address stakeholder queries

Skills

Key technologies and capabilities for this role

PythonSASSQLlogistic regressiontime seriessurvival analysisboosted treesmachine learning

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

This is a hybrid position requiring in-office work three days every week, ideally based in Buffalo, NY, but may be in M&T offices in Buffalo, NY, Baltimore, MD, Wilmington, DE, or Washington, DC. There is potential for a remote work arrangement if the final candidate is not near one of these locations.

What technical skills are required for this role?

The role requires proficiency in Python, SAS, and SQL for data manipulation and statistical analysis. It also involves employing methodologies such as logistic regression, time series, survival analysis, boosted trees, and similar machine learning methods.

What is the salary for this position?

This information is not specified in the job description.

What does the team structure look like for this role?

The credit model development team is a highly dedicated quantitative team of model developers. The lead may supervise the work of model development analysts and provide direction to less experienced personnel on a project-by-project basis.

What makes a strong candidate for this Credit Model Quantitative Lead role?

A strong candidate should have senior-level experience independently developing and maintaining quantitative models for credit risk, capital planning, or underwriting, including CCAR and CECL models. They should excel in leading teams on projects, strong communication with stakeholders, and comprehensive model documentation.

M&T Bank

Full-service banking for individuals and businesses

About M&T Bank

M&T Bank provides a variety of banking services to individuals, small businesses, and larger companies. Their offerings include mortgage assistance, personal and business checking accounts, and mobile banking options. The bank primarily operates in the Northeastern and Mid-Atlantic regions of the United States, emphasizing community engagement and a focus on customer service. M&T Bank's business model is based on traditional banking practices, such as loans, deposits, and investment products, and it generates revenue through interest income and service fees. A key aspect that sets M&T Bank apart from its competitors is its commitment to community involvement, which includes allowing employees to volunteer and supporting local organizations. The recent merger with United Bank, N.A. has further expanded their services and market presence.

Buffalo, New YorkHeadquarters

1993Year Founded

IPOCompany Stage

Financial ServicesIndustries

10,001+Employees

Risks

Competition from fintechs could erode M&T Bank's market share among tech-savvy customers.

Integration challenges from the United Bank merger may disrupt operations.

Decreased prime rate could reduce interest income, impacting profitability.

Differentiation

M&T Bank emphasizes community engagement through its charitable foundation and volunteer programs.

The bank offers a wide range of traditional and digital banking services.

Recent merger with United Bank, N.A. expands M&T's market reach and service offerings.

Upsides

M&T Bank's $1.5 billion senior notes offering strengthens its financial position.

Decreased prime rate may attract more borrowers, increasing loan volume.

Shannon Lazare's appointment as New Jersey Regional President enhances local community engagement.

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