1

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

Develop cash flow and unit economics models to estimate credit and financial performance. * Work ... risk analytics in consumer lending. * Excellent communication (verbal and written) with the ability ...

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

Proven understanding of credit underwriting principles, data science model application, risk appetite frameworks, and portfolio risk management. * Outstanding quantitative and deductive reasoning ...

At Regions, the Credit Risk Review Examiner continuously monitors and examines activities. This ... models, understanding portfolio valuation techniques, etc. * Proposes appropriate ratings and risk ...

Director, Credit Risk & Analytics

Kennesaw, GA ยท On-site

$148K - $237K/yr

Owning P&L responsibilities by developing forecast models and successfully steering the business to ... Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to ...

Owning P&L responsibilities by developing forecast models and successfully steering the business to ... Associates that are considered full-time hourly or commission/incentive eligible: * To earn up to ...

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

next page

Showing results 1-20

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.

Director, Lending & Credit Risk Analytics

Alpharetta, GA โ€ข On-site

ValidiFI
Finance and Insuranceย โ€ขย 11 - 50 employees

Other

Medical, Retirement

Re-posted 25 days ago


Job description

Director, Lending & Credit Risk Analytics

The Director of Lending & Credit Risk Analytics is a senior, customer-facing leader within ValidiFIโ€™s Data Science organization, owning lending and credit risk interpretation across the company with a focus on non-prime and alternative credit use cases.

This role operates with significant autonomy, serving as the day-to-day owner of lending analytics while partnering closely with the VP of Data Science on strategy and priorities.

Responsibilities include overseeing analytics workflows across SQL-based data stores, Power BI reporting, and Excel-driven analysis, as well as driving insight-led enhancements to ValidiFIโ€™s risk platform by shaping new features and models informed by lender needs, emerging data signals, and real-world decisioning gaps.

Key responsibilities

Lending & Credit Risk Leadership

  • Serve as ValidiFIโ€™s internal authority on lending, underwriting, fraud, and creditโ€‘risk
    analytics, with deep domain fluency in non-prime and alternative lending
  • Ensure analyses reflect how lenders actually evaluate risk, including loss exposure,
    fraud risk, approval and conversion lift, and earlyโ€‘life performance indicators
  • Act as the final interpretive checkpoint for customerโ€‘facing lending analyses prior to delivery
  • Review and approve analytical outputs for accuracy, relevance, and realโ€‘world defensibility

Customer Analytics Management

  • Own prioritization, scoping, and execution of customerโ€‘driven analytical requests
  • Lead, mentor, and develop Customer Analytics team members (current and future)
  • Establish repeatable analytical frameworks for common lending use cases (e.g.,
    approval optimization, fraud segmentation, early delinquency indicators)
  • Set standards for analytical rigor, documentation quality, and narrative consistency

Cross-Functional Partnership

  • Partner closely with Sales, Client Success, Product, and R&D on lenderโ€‘specific
    questions and insights
  • Translate lender feedback into structured input for R&D, highlighting gaps between
    model output, lender interpretation, and realโ€‘world decision constraints
  • Influence product roadmap priorities and goโ€‘toโ€‘market messaging based on lender
    realities and market norms

Strategic Platform Ownership

  • Serve as the public and internal face of ValidiFIโ€™s data studies and lending analytics strategy
  • Drive conversations and recommendations around new or enhanced risk model
    features and capabilities
  • Ensure consistency, credibility, and defensibility across all lenderโ€‘facing analytical
    work
Qualifications:
  • 7โ€“10+ years of experience in lending, credit risk, fraud analytics, or financial risk
  • Direct experience supporting banks, fintech lenders, or nonโ€‘prime / alternative credit providers
  • Deep understanding of underwriting and credit policy design, fraud detection techniques, portfolio monitoring, and earlyโ€‘risk indicators
  • Familiarity with regulatory and compliance considerations relevant to lending
  • Ability to combine quantitative outputs with realโ€‘world lending judgment to produce
    conclusions that withstand scrutiny from both technical and business stakeholders
  • Strong ability to translate complex analytics into clear, lenderโ€‘ready narratives
  • Fluent in core dataโ€‘science concepts and metrics (e.g., AUC, KS, lift, stability, and model drift)
  • Familiarity with analytical languages such as R (and similar tools) is beneficial but not required
What youโ€™ll get from us

A team where you can make an impact, and where you and your experience are valued. We offer comprehensive compensation and healthcare packages, 401k matching, and flexible time off.

No agencies please. ValidiFI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteranโ€™s status, age, disability status, genetics or any other category protected by federal, state, or local law.

#J-18808-Ljbffr