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Hourly Credit Risk Modeling Jobs in Atlanta, GA (NOW HIRING)

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer ... Wellness Program * Short-Term Disability Coverage (for hourly roles) * Long-Term Disability

Perform quantitative analysis and statistical modeling to evaluate credit, collateral, and customer ... Wellness Program * Short-Term Disability Coverage (for hourly roles) * Long-Term Disability

Head of Modeling

Atlanta, GA ยท On-site

$150 - $200/hr

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 ...

Data & Model Operations Engineer

Norcross, GA ยท On-site

$107K - $128K/yr

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 ยท On-site

$107K - $128K/yr

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

... Credit Valuation Adjustment 'CVA', etc.) using complex quantitative risk models. * Provide analytical direction, expertise, advice as well as management support to the various Truist trading teams.

... Credit Valuation Adjustment 'CVA', etc.) using complex quantitative risk models. * Provide analytical direction, expertise, advice as well as management support to the various Truist trading teams.

Showing results 21-40

Hourly Credit Risk Modeling information

What is hourly credit risk modeling?

Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.

How does an hourly credit risk modeling professional typically collaborate with other departments within a financial institution?

Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.

What are the key skills and qualifications needed to thrive as an hourly credit risk modeler, and why are they important?

To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.

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

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically requires finance or accounting degrees; certifications like CFA are common

Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.

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:

What are popular job titles related to Hourly Credit Risk Modeling jobs in Atlanta, GA?

For Hourly Credit Risk Modeling jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Hourly Credit Risk Modeling jobs in Atlanta, GA look for?

The top searched job categories for Hourly Credit Risk Modeling jobs in Atlanta, GA are:

Infographic showing various Hourly Credit Risk Modeling job openings in Atlanta, GA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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.