✦ Luna Orbit — Data & Analytics

Credit Risk Model Development Quantitative Analyst II - Consumer Portfolio (Hybrid - see job description for potential work locations)

at M&T Bank

📍 6 Locations Hybrid 💰 $71K – $119K USD / year Posted March 29, 2026
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Position Details

Salary $71K – $119K USD / year
Type Full-Time
Experience mid
Exp. Years 1+ years
Education Bachelor's degree
Category Data & Analytics

About this role

Develop and analyze quantitative behavioral models for credit risk and related areas in a consumer portfolio, using SQL, Python, SAS, and R; work in a hybrid environment across multiple locations.

Key Responsibilities

  • Prepare data and develop econometric models
  • Run regressions and analyze results
  • Produce model documentation and performance monitoring
  • Communicate results to Treasury and Risk stakeholders
  • Support model validation and data support across the Bank

Technical Overview

Stack includes SQL Server Management Studio, Python, SAS, Stata, R; emphasis on time-series, logistic/linear regression, and large data-set analysis.

Ideal Candidate

The ideal candidate is a mid-level quantitative analyst with 1+ year of quantitative behavioral modeling experience, proficient in Python and SAS, and capable of managing large datasets and communicating model results to stakeholders. They should be comfortable in a hybrid work setting across multiple locations and able to translate business needs into robust models.

Must-Have Skills

Bachelor's degreeMinimum of 1 years' proven quantitative behavioral modeling experienceSASPythonStataRSQLSQL Server Management Studio

Nice-to-Have Skills

Masters' of ScienceDoctorateCredit model development experienceConsumer portfolio model developmentEconometricsTime-series analysisModel Risk Management SR-11-7

Tools & Platforms

SQL Server Management StudioSASPythonStataRSQL

Required Skills

SQLStructured Query LanguageSQL Server Management StudioPythonSASStataRtime serieslogistic regressionlinear regressiondata analysismodel development

Hard Skills

SQLStructured Query LanguageSQL Server Management StudioPythonSASStataRTime seriesLogistic RegressionLinear RegressionData analysisModel developmentEconometricslarge data sets

Soft Skills

Written and verbal communicationCommunicationCollaborationTeamworkAnalytical thinking

Industry & Role

Industry Banking
Job Function Develop and analyze quantitative models for credit risk and related areas using statistical software
Role Subtype Quantitative Analyst
Tech Domains Python, SQL / PostgreSQL

Keywords for Your Resume

credit risk model developmentquantitative analystconsumer portfoliohybridsqlStructured Query LanguageSQL Server Management StudioPythonSASStataRtime serieslogistic regressionlinear regressiondata analysismodel developmentregulatory guidanceSR 10-1SR 10-6SR 11-7model risk managementproduction environmentlarge data setsquantitative behavioral modelingSQL

Deal Breakers

Bachelor's degree required, Experience with SAS/Python required

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