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Internship Credit Risk Modeling Jobs in Georgia (NOW HIRING)

Head of Modeling

Atlanta, GA ยท On-site

$150 - $200/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Substantial experience (typically 8+ years) building credit risk and/or decisionโ€‘science models in lending, fintech, or banking, with meaningful time in consumer credit . * A strong handsโ€‘on ...

Risk Analyst II

Kennesaw, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer performance. * Support the design, implementation, and ongoing optimization of credit risk ...

Risk Analyst II

Kennesaw, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer performance. * Support the design, implementation, and ongoing optimization of credit risk ...

Senior Manager, Risk Analytics

Atlanta, GA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

GreenSky seeks a credit risk professional to own and manage one or more credit strategy processes ... Valuation & Credit Economics * Build and maintain loan-level valuation models incorporating ...

Credit Analyst

Atlanta, GA ยท On-site

  • Medical

  • Retirement

  • PTO

As a Credit Analyst on our Credit Card Risk team, you'll use data, analytics, and strategic ... Partner with Finance and Credit teams to model portfolio outcomes and track P&L drivers.

Data & Model Operations Engineer

Norcross, GA ยท On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support credit risk model lifecycle processes, including data preparation, validation, deployment, and model refresh activities. * Partner with deal, analytics, and engineering teams to deliver ...

Data & Model Operations Engineer

Norcross, GA

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support credit risk model lifecycle processes, including data preparation, validation, deployment, and model refresh activities. * Partner with deal, analytics, and engineering teams to deliver ...

Showing results 21-40

Internship Credit Risk Modeling information

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 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 are the key skills and qualifications needed to thrive as an internship in 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 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 are the most commonly searched types of Credit Risk Modeling jobs in Georgia?

The most popular types of Credit Risk Modeling jobs in Georgia are:

What cities in Georgia are hiring for Internship Credit Risk Modeling jobs?

Cities in Georgia with the most Internship Credit Risk Modeling job openings:

Senior Credit Risk & Strategy Analyst Credit Card Strategy

Atlanticus Holdings Corporation

Atlanta, GA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 8 days ago


Job description

Senior Credit Risk & Strategy Analyst - Credit Card Strategy
When you join Atlanticus, you become a member of a fast-growing, mission-focused company that is committed to aid in meeting the financial needs of middle-class Americans. With a culture of collaboration and a one-team mindset, we encourage entrepreneurial thinking to empower our customers toward financial well-being.
Atlanticusโ„ข technology enables bank, retail, and healthcare partners to offer more inclusive financial services to everyday Americans through the use of proprietary analytics. We apply the experience gained and infrastructure built from servicing over 20 million customers and over $40 billion in consumer loans over more than 25 years of operating history to support lenders that originate a range of consumer loan products. These products include retail and healthcare, private label credit and general-purpose credit cards marketed through our omnichannel platform, including retail point-of-sale, healthcare point-of-care, direct mail solicitation, digital marketing, and partnerships with third parties. Additionally, through our Auto Finance subsidiary, Atlanticus serves the individual needs of automotive dealers and automotive non-prime financial organizations with multiple financing and service programs.
Office Locations available for this role include
  • Wilmington, DE - Near the Riverfront, offering rich history, dining, entertainment, and shopping. With direct access to I-95, Amtrak, and SEPTA, employees enjoy flexible living options.

Work Culture
We foster a collaborative, innovative environment where everyone contributes to building something meaningful. You'll be empowered to lead, grow, and make an impact.
The Role
At Atlanticus, we're redefining how responsible credit can empower consumers. As a Senior Credit Risk & Strategy Analyst, you'll combine analytical rigor with business strategy to drive growth and profitability across our credit card portfolio. You'll take on complex, cross-functional challenges spanning credit risk, marketing optimization, customer experience, and financial performance - all while helping shape Atlanticus's next stage of growth.
Because Atlanticus is a fast-growing company, you'll have broader ownership, greater visibility, and more flexibility than at larger institutions. Analysts here are not confined to narrow lanes - you'll own your analyses end-to-end, partner directly with senior leaders, and see your work influence major strategic decisions.
What You'll Do
  • Solve complex business problems: Partner with teams across Credit, Marketing, and Finance to develop data-driven strategies that balance growth, profitability, and customer outcomes.
  • Own analytical initiatives end-to-end: Frame key business questions, design analyses, extract and synthesize data using SQL, SAS, and Python, and translate insights into actionable recommendations.
  • Drive credit strategy and performance: Evaluate acquisition, underwriting, and line management strategies to optimize risk-adjusted returns and portfolio health.
  • Support marketing efficiency: Analyze campaign performance, segmentation, and targeting to improve acquisition economics and customer engagement.
  • Contribute to financial planning: Forecast P&L impacts, monitor portfolio trends, and partner with Finance to inform investment and growth decisions.
  • Influence with insight: Present findings to senior leaders, using data storytelling to drive alignment and decision-making across teams.
  • Innovate in a startup-minded culture: Identify opportunities to improve processes, test new ideas, and help shape a growing analytics organization.

You're a great fit if you have
  • Bachelor's degree in a quantitative or analytical field (e.g., Mathematics, Economics, Finance, Statistics, Engineering, or Data Science).
  • 4-6 years of experience in financial analytics, consulting, or business strategy (preferably within financial services or unsecured consumer lending products).
  • Proficiency in SQL & Excel; experience with Python, R, or similar analytical tools.
  • Strong problem-solving, quantitative, and critical-thinking skills.
  • Possess credit card financial modeling skills with understanding of P&L interdependence and profitability drivers.
  • Excellent communication skills with the ability to influence cross-functional stakeholders.
  • Experience with balance build initiatives such as purchase promotional rates and balance transfers.

Preferred
  • Master's degree in a quantitative or business discipline.
  • Experience in credit cards, lending, or other data-rich consumer finance businesses.
  • Familiarity with experimentation (A/B testing), marketing analytics, portfolio management or financial analytics.
  • Experience building dashboards and visualizations (Tableau, Power BI).
  • Comfort working in fast-paced, high-growth environments where priorities evolve quickly.
  • Experience with credit card rewards programs, including rewards economics, customer engagement strategies, or loyalty program optimization.

Why You'll Love Working Here
This isn't just a job, it's a place to lead, grow, and thrive. If you believe in your skills and drive, we'll provide the resources and support to help you succeed.
  • Broad Impact: Work across credit, marketing, and finance to drive holistic business outcomes.
  • Ownership: Enjoy end-to-end responsibility and autonomy to shape strategy, not just report on it.
  • Entrepreneurial Culture: Be part of a nimble, innovative team where ideas move quickly from concept to execution.
  • Visibility: Collaborate directly with senior leaders, contributing to key portfolio and growth decisions.
  • Learning and Growth: Develop diverse analytical skills while deepening your understanding of how a credit card business runs.

Benefits include
  • Generous PTO and holiday schedule
  • 401(k) with company match
  • Employee stock purchase plan
  • Ongoing training (lunch & learns, financial and health webinars)
  • Team volunteer outings

Atlanticus is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, religion, gender, sexual orientation, age, veteran status, disability, or other protected status.