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Internship Credit Risk Modeling Jobs in Atlanta, GA

... support YMFUS' Credit Risk and business strategies. Key areas of focus include originations ... analysis, and modeling to optimize portfolio performance. What you'll be doing: * Manage and ...

Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of financial services business models, products, and services * Experience in banking, digital assets, or ...

Credit Risk, Liquidity Risk, Market Risk, Capital Management/Stress Testing * Knowledge of financial services business models, products, and services * Experience in banking, digital assets, or ...

Showing results 41-60

Internship Credit Risk Modeling information

See Atlanta, GA salary details

$119.2K

$139K

$179.6K

How much do internship credit risk modeling jobs pay per year?

As of Jul 28, 2026, the average yearly pay for internship credit risk modeling in Atlanta, GA is $138,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $142,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Credit Risk Modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What types of projects or tasks can I expect to work on during an Internship in Credit Risk Modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

What is the difference between Internship Credit Risk Modeling vs Credit Risk Analyst?

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

What is an Internship in Credit Risk Modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.
What are the most commonly searched types of Credit Risk Modeling jobs in Atlanta, GA? The most popular types of Credit Risk Modeling jobs in Atlanta, GA are:

Senior Manager, Risk Analytics

GreenSky Administrative Services LLC

Atlanta, GA โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

About GreenSky

GreenSky, LLC, headquartered in Atlanta, is a leading technology company Powering Commerce at the Point of Saleยฎ for a growing ecosystem of merchants, consumers, and banks. GreenSkyโ€™s highly scalable, proprietary and patented technology platform enables merchants to offer frictionless promotional payment options to consumers, driving increased sales volume and accelerated cash flow. The GreenSkyยฎ Program is operated on behalf of, and financing is offered and made by, federally insured, federal or state chartered financial institutions, which leverage GreenSkyโ€™s technology to offer loans to primarily super-prime and prime consumers nationwide. Since GreenSky's inception, nearly 6 million consumers have financed more than $60 billion of commerce using GreenSkyโ€™s real time โ€œapply and buyโ€ technology. 

Location: Atlanta, GA (Hybrid: 3 Days per week)

This role requires unrestricted work authorization now and in the future, as visa sponsorship and sponsorship transfers are not available.
 

Overview:

GreenSky seeks a credit risk professional to own and manage one or more credit strategy processes for the Home Improvement lending platform. This role spans strategy design through execution and works across unit economics, underwriting, servicing, and capital markets, with direct responsibility for the profitability and disciplined growth of the strategies they manage.

This is a high-ownership, hands-on role for someone who wants to run a set of credit strategies end-to-end. The individual will define and maintain loan-level valuation frameworks, monitor early performance signals, design and execute test-and-learn strategies, manage pre-screen credit strategy, and directly implement credit policies within GreenSkyโ€™s decisioning infrastructure. Success in this role requires comfort operating with white space, making judgment calls, continuously refining strategy as performance emerges, and working cross-functionally with others in the enterprise to execute.

They will own the credit economics for the strategies and processes they manage, operating with a high degree of autonomy while collaborating closely with partners across Credit, Product, Servicing, and Capital Markets.


Loan Valuation & Credit Economics

  • Build and maintain loan-level valuation models incorporating cumulative and non-cumulative loss, delinquency roll-rates, prepayment behavior, minimum payment dynamics, recoveries, and balance / cash-flow curves
  • Translate performance assumptions into asset margin, risk-adjusted return, and profitability estimates
  • Perform downside and sensitivity analysis to understand risk tradeoffs and economic boundaries

Performance Monitoring & Early Warning

  • Monitor early-stage delinquency, roll behavior, and payment performance across credit segments and populations
  • Convert early performance signals into forward-looking loss and profitability forecasts, not just retrospective reporting
  • Identify emerging risks and recommend timely strategy or policy adjustments

Credit Strategy & Test-and-Learn

  • Design and execute test-and-learn frameworks across underwriting, segmentation, approval criteria, limits, and pricing
  • Define success metrics, guardrails, and decision criteria to support scaling, refinement, or discontinuation of strategies
  • Partner cross-functionally with Product, Capital Markets, Legal/Compliance, and Servicing to ensure strategies are executable and well-controlled
  • Own and manage pre-screen credit strategy, including criteria design, execution, and performance monitoring for prescreened acquisition campaigns

Decisioning & Strategy Implementation

  • Code and implement credit strategies within GreenSkyโ€™s decision engine
  • Translate analytical insights into production-ready strategies, rules, and decision logic
  • Support ongoing optimization through disciplined iteration and performance feedback loops

Borrower Communications & Servicing Strategy

  • Collaborate on the design and testing of borrower communication strategies across multiple channels, including activation, payment reminders, and early-stage delinquency outreach
  • Evaluate communication effectiveness using controlled testing methodologies
  • Inform servicing and collections approaches for higher-risk segments

Leadership & Collaboration

  • Partner with stakeholders across Credit, Product, Capital Markets, and Servicing
  • Partner with others within risk including credit strategy and collections strategy to design and test new strategies
  • Communicate complex analytical findings clearly to senior audiences
  • Potentially manage and mentor junior team members as the function scales

Required Skills & Qualifications:

  • At least 4 years of experience in credit risk, credit strategy, or analytics within financial services or fintech
  • Bachelorโ€™s degree with advanced degree preferrable in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, Computer Science etc
  • experience building loss and valuation models for consumer credit portfolios
  • Strong understanding of delinquency dynamics, loss emergence, and early performance monitoring.
  • Hands-on experience with test-and-learn methodologies (e.g., A/B testing, champion/challenger, phased rollouts)
  • Expertise in pulling structured data with SQL and experience with Excel, Tableau, Python (or similar) for analytics
  • Experience implementing credit strategies in a decision engine or rules-based system
  • Strong written and verbal communication skills with the ability to influence cross-functional partners

Preferred Qualifications: 

  • Advanced degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Operations Research, Engineering, Computer Science etc
  • Experience in credit risk function in an unsecured lending environment with unsecured installment products or with credit cards acquisitions (line management and auth for card is less relevant) 
  • Familiarity with alternative or expanded credit data sources.
  • Exposure to servicing or collections strategy for higher-risk borrowers
  • Hands-on experience with LLM-assisted or agentic analytics tools โ€” Claude Code, Cortex Agent/Analyst, Kiro or comparable โ€” to build AI-assisted / agentic workflows
  • Prompt engineering / effective collaboration with AI tools, plus solid documentation habits

Our compensation structure is designed to reflect the cost of labor across various U.S. geographic markets. The base salary for this role ranges from $145,000 per year to $185,000 per year. Compensation will be determined by several factors, including relevant knowledge, skills, and experience. This role is also eligible to receive an annual bonus within a comprehensive total rewards package, alongside a full suite of medical, dental, vision, disability insurance, life insurance, 401k retirement benefits, paid time off, paid holidays, and paid personal/sick time. For further details, please visit https://www.greensky.com/benefits.

We anticipate that this position will remain open for at least 5 days, and candidates are encouraged to apply through our internal or external career sites.

If you have any questions about this job posting, please contact recruiting@greensky.com.

 

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.