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Credit Risk Analyst - Bank

Job in Salt Lake City, Salt Lake County, Utah, 84193, USA
Listing for: GM Financial
Full Time position
Listed on 2026-10-12
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Financial Analyst, Credit Analyst, Banking Analyst
Salary/Wage Range or Industry Benchmark: 65000 - 90000 USD Yearly USD 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Credit Risk Analyst - GM Financial Bank
Why GM Financial Bank?

GM Financial Bank is a newly formed bank. Team members joining now will play a pivotal role in shaping the bank, which will offer auto finance and deposit products. Joining GM Financial Bank means an opportunity to help build a customer-focused bank from the ground up.

GM Financial Bank is a newly formed bank. Team members joining now will play a pivotal role in shaping the bank, which will offer auto finance and deposit products. Joining GM Financial Bank means an opportunity to help build a customer-focused bank from the ground up.

Job Description

This position will be posted until filled.

Responsibilities

About the role:

The Credit Risk Analyst supports the AVP – Credit Risk in managing, monitoring and reporting on credit risk strategies. The position provides analytical insight into credit performance, policy execution and portfolio trends while developing a foundational understanding of consumer credit, underwriting practices and bank regulatory expectations. The position will work with a variety of internal clients as well as interacting with Management.

This role offers a strong development opportunity for an analytically driven early-career professional through structured coaching and exposure to leadership and credit governance.

In This Role You Will
  • Operate effectively in a startup banking environment, demonstrating the agility to manage multiple priorities, adapt quickly to changing needs, and assume new responsibilities as the credit program continues to evolve
  • Support the AVP – Credit Risk in the development, monitoring and reporting of credit risk strategies
  • Create recurring and ad-hoc credit risk reports, dashboards and analysis for management and governance committees
  • Analyze origination trends, portfolio performance and credit execution metrics to identify emerging risks and opportunities
  • Assist in the creation, maintenance and monitoring of credit policies, and procedures
  • Employ best practices of data analysis and validation to ensure data accuracy and audit readiness
  • Translate analytical findings into clear, concise summaries for leadership audiences
  • Support preparation of materials for Leadership, Committees and Board reporting
  • Conduct ad-hoc research projects including data collection, analysis and presentation of results
  • Develop working knowledge of credit decisioning systems, underwriting workflows and servicing impacts
Qualifications What makes you an ideal candidate?
  • Working knowledge of data analysis, reporting and visualization techniques
  • Strong analytical aptitude with ability to connect data trends to credit outcomes
  • Understanding of consumer credit fundamentals and willingness to develop underwriting judgment
  • High attention to detail and strong data accuracy discipline
  • Effective written and verbal communication skills
  • Ability to manage multiple priorities in a deadline-driven environment
  • Proficient with Microsoft Excel, PowerPoint and Word
  • Experience working with large datasets and complex spreadsheets
  • Exposure to SQL, SAS, Power BI, Databricks or similar tools preferred (training supported)
Experience And Education
  • 0–2 years of experience working with complex Excel workbooks, querying large multi-table datasets, data analysis, and data presentation; experience in consumer loan or lease portfolio analysis, reporting and/or forecasting
  • Prior loan officer, underwriting, and credit decisioning experience strongly preferred
  • Bachelor’s Degree in Finance, Economics, Business, Mathematics, Business Analytics, MIS or related quantitative field required
Additional Knowledge And Skills

Working effectively within an AI enabled environment:

  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and…
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