H&R Block · 1 month ago
Senior Lending Credit Risk Model Analyst
H&R Block is a financial services company that builds credit and banking products to help customers manage their money. They are seeking a Senior Lending Credit Risk Model Analyst to develop analytical and machine-learning solutions that improve credit outcomes while supporting responsible growth.
ConsultingRetailAccountingService IndustryTax Preparation
Responsibilities
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
Qualification
Required
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
Preferred
Experience with underwriting, account management, collections, fraud, or credit risk strategy
Familiar with cloud data platforms, modern analytics stacks, or ML deployment processes
Exposure to model monitoring, validation, documentation, or governance workflows
Master's degree in a quantitative discipline
Benefits
Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage
Can participate in the H&R Block Retirement Savings Plan (401(k) Plan)
The Employee Assistance Program
(virtual) fitness center programs
Associate discount program
Are automatically enrolled in Business Travel Accident Insurance
Receive Associate Tax Prep benefit
Company
H&R Block
Tax preparation and filing services for individuals and businesses.
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
Curtis Campbell
President and CEO
Andy Phillips
Vice President - The Tax Institute at H&R Block
Recent News
The Motley Fool
2026-08-15
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