Credit Modeling Quantitative Analyst II (Hybrid - See potential locations in job description) at M&T Bank

Buffalo, New York, United States

M&T Bank Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, Financial ServicesIndustries

Requirements

  • Experienced skillset in researching and developing quantitative behavioral models for credit risk, interest rate risk, liquidity risk management, balance sheet, and capital planning (e.g., loan delinquency, default, loss, prepayment, utilization, deposit attrition models, financial instrument valuation)
  • Proficiency in preparing, managing, and analyzing large customer loan, deposit, and financial data sets using SQL or similar tools
  • Ability to run regressions (time series, logistic), programming routines, and econometric analyses using statistical software
  • Experience executing models in production environments and communicating results (graphic/tabular) to stakeholders
  • Capability to track portfolio performance, model performance, campaign tracking, risk strategy results, identify deviations/variances, and incorporate data to improve models
  • Skills in developing and maintaining model documentation (process narratives, performance monitoring guidelines)
  • Knowledge of regulatory guidance (e.g., SR 10-1, SR 10-6, SR 11-7, Enhanced Prudential Standards) and adherence to compliance/operational/model risk controls
  • Understanding of the Bank’s data, businesses, and risk appetite; ability to identify and escalate risk issues
  • Ability to provide guidance/direction to less experienced personnel
  • Hybrid work arrangement requiring in-office presence 3 days/week in Buffalo, NY; Iselin, NJ; NYC, NY; or Bridgeport, CT

Responsibilities

  • Assist in researching and developing quantitative/econometric behavioral models for credit, interest rate, liquidity risk, balance sheet, and capital planning
  • Prepare, manage, and analyze large data sets in SQL or similar for statistical/econometric model specification and estimation
  • Run regressions, programming routines, and econometric analyses; communicate results to team, management, and stakeholders
  • Execute models in production; track performance, incorporate observations to improve models, identify deviations/risks/opportunities
  • Develop and maintain model documentation and performance monitoring guidelines
  • Provide financial analysis and data support to other Bank groups/departments; support Model Risk Management validations
  • Provide guidance to less experienced personnel on data analysis, financial analysis, and model development/management
  • Conduct business in compliance with regulations, adhere to risk standards/policies/controls, and escalate issues
  • Promote belonging environment reflecting M&T Bank brand; maintain internal control standards and address audit/regulatory issues
  • Complete other related duties as assigned

Skills

Key technologies and capabilities for this role

SQLEconometric ModelingLogistic RegressionTime Series RegressionStatistical AnalysisQuantitative AnalysisData ManagementRisk Modeling

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, based in an M&T office in Buffalo, NY, Iselin, NJ, NYC, NY, or Bridgeport, CT.

What are the key responsibilities of this role?

The role involves developing quantitative behavioral models for credit, interest rate, and liquidity risk, analyzing large datasets with SQL, running regressions, executing models, tracking performance, and providing guidance to less experienced personnel.

What technical skills are required for this position?

Proficiency in Structured Query Language (SQL) for data analysis, running regressions including time series and logistic regression, and using statistical software for econometric analyses is required.

Does this role involve mentoring others?

Yes, the position includes providing guidance and direction to less experienced personnel regarding data analysis, financial analysis, and model development.

What makes a strong candidate for this Quantitative Analyst role?

A strong candidate has experienced skills in quantitative modeling for credit and risk management, proficiency in SQL and statistical software for regressions and data analysis, and the ability to communicate results to stakeholders while guiding junior team members.

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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