Senior Lending Credit Risk Model Analyst

H&R Block

Senior Lending Credit Risk Model Analyst developing machine-learning solutions for credit outcomes and portfolio performance at H&R Block Financial Services. Collaborating across teams to solve business challenges.

Posted 7/24/2026full-timeRemote • Montana • 🇺🇸 United StatesSenior💰 $100,400 - $150,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining credit risk models and analytical frameworks, utilizing Python and SQL for data analysis and predictive modeling. Strong ability to communicate insights and influence decisions across diverse stakeholders in regulated financial services.

Highest-signal resume keywords

Credit Risk ModelingPredictive ModelingPython ProficiencySQL ProficiencyConsumer Credit Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical MethodsLogistic RegressionTree-Based ModelsClusteringData AnalysisModel DevelopmentModel DeploymentData AutomationData Quality Improvement

Soft Skills

Clear CommunicationInfluencing Decisions

Tools & Technologies

MLOpsData Pipelines

Industry Keywords

Consumer CreditFintechBankingRegulated Financial ServicesUnderwritingDelinquencyPortfolio Performance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build and maintain credit risk models, scorecards, and analytical frameworks supporting underwriting, account management, and portfolio monitoring
Analyze large, complex datasets (application, bureau, tax, and performance data) using Python and SQL to uncover risk insights and portfolio trends
Develop predictive models, segmentation, and analytics for default risk, customer behavior, and portfolio actions, including experimentation and strategy tests
Partner with engineering and MLOps teams to productionize models, improve data pipelines, and support ongoing monitoring and performance tracking
Deliver clear, decision-ready insights to stakeholders while supporting model governance, documentation, explainability, and continuous data quality improvement

Requirements

What you’ll need

5+ years of experience in data science, risk analytics, or quantitative analytics with hands-on model development and deployment
Strong foundation in predictive modeling and applied statistical methods (e.g., logistic regression, tree-based models, clustering)
Experience in consumer credit, fintech, banking, or another regulated financial services environment
Proficiency in Python and SQL for data analysis, modeling, and automation
Working knowledge of consumer credit concepts such as underwriting, delinquency, losses, or portfolio performance
Ability to communicate analytical findings clearly and influence decisions across technical and non-technical partners

Benefits

Comp & perks

Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage
Participate in the H&R Block Retirement Savings Plan (401(k) Plan)
Employee Assistance Program
(virtual) fitness center programs
Associate discount program
Automatically enrolled in Business Travel Accident Insurance
Receive Associate Tax Prep benefit