Credit Risk Analyst
Career GuideKey Responsibilities
- Review loan and credit applications for risk
- Analyze borrower financial statements and cash flow
- Assess credit reports and payment history
- Build and maintain credit risk models and scorecards
- Recommend credit limits, pricing, and lending terms
- Monitor existing portfolios for early warning signs
- Track delinquency, defaults, and loss trends
- Prepare clear risk reports for business leaders
- Support credit policy updates and lending guidelines
- Partner with sales, underwriting, and collections teams on risk decisions
Top Skills for Success
Financial Statement Analysis
Credit Risk Assessment
Data Analysis
Excel Modeling
SQL
Statistical Modeling
Risk Reporting
Attention to Detail
Business Writing
Stakeholder Communication
Career Progression
Can Lead To
Senior Credit Risk Analyst
Credit Risk Manager
Credit Risk Modeler
Portfolio Risk Manager
Underwriting Manager
Transition Opportunities
Risk Management
Compliance
Fraud Risk
Financial Planning and Analysis
Treasury
Common Skill Gaps
Often Missing Skills
SQLPythonStatistical ModelingModel GovernanceData VisualizationCredit Policy DesignPortfolio Monitoring
Development SuggestionsStrengthen data skills with SQL and Python, practice building simple risk models using real or simulated loan data, and learn how credit policies are written and monitored. Create a portfolio of concise risk memos and dashboards that show decisions, results, and what you would change.
Salary & Demand
Median Salary Range
Entry LevelUS$60,000 to US$85,000
Mid LevelUS$85,000 to US$120,000
Senior LevelUS$120,000 to US$170,000
Growth Trend
Steady demand, supported by ongoing consumer and business lending, tighter risk oversight, and increased use of data-driven decision making.Companies Hiring
Major Employers
JPMorgan ChaseBank of AmericaWells FargoCitigroupGoldman SachsMorgan StanleyCapital OneAmerican ExpressDiscoverAlly FinancialSynchronyPayPal
Industry Sectors
Retail BankingCommercial BankingCredit CardsConsumer LendingFintechAuto FinanceMortgage LendingAsset ManagementInsurance
Recommended Next Steps
1
Build a sample credit memo using a public company and explain a clear lend or do not lend decision2
Create a small portfolio monitoring dashboard that tracks delinquency and loss trends3
Take a SQL course focused on filtering, joining, and aggregating tables4
Learn Python basics for data cleaning and simple modeling5
Study common credit metrics such as default rate and loss rate6
Ask to shadow underwriting, collections, or fraud teams to understand the full credit lifecycle7
Update your resume with measurable outcomes such as improved approval quality or reduced losses