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

... 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 ...

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.

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

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 Manager, Risk Analytics

GreenSky Administrative Services LLC

Atlanta, GA โ€ข Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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.