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Credit Risk Modeling Jobs in Georgia (NOW HIRING)

usauto

Credit Risk Manager

Duluth, GA · On-site

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 ...

YouLend

Senior Credit Risk Analyst

Atlanta, GA · On-site

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

YouLend Limited

Senior Credit Risk Analyst

Atlanta, GA · On-site

$125 - $150/hr

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

YouLend

Senior Credit Risk Analyst

Atlanta, GA · On-site

$100 - $125/hr

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

Regions Bank

Credit Risk Review Examiner

Atlanta, GA · On-site

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

Carmax

Director, Credit Risk & Analytics

Kennesaw, GA · On-site

$148K - $237K/yr

Director, Credit Risk & Analytics About this job As the captive lender behind the nation's largest ... Owning P&L responsibilities by developing forecast models and successfully steering the business to ...

Carmax

Director, Credit Risk & Analytics

Atlanta, GA

Director, Credit Risk & Analytics About this job As the captive lender behind the nation's largest ... Owning P&L responsibilities by developing forecast models and successfully steering the business to ...

Intuit

Staff AI Scientist

Atlanta, GA · On-site

In this role, you'll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work ...

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Credit Risk Modeling information

See Georgia salary details

$22.2K

$84.4K

$159.1K

How much do credit risk modeling jobs pay per year?

As of Sep 8, 2026, the average yearly pay for credit risk modeling in Georgia is $84,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,798.00 and $101,147.00 per year, depending on experience, location, and employer.

What is credit risk modeling?

A Credit Risk Modeling job involves developing statistical models and analytical techniques to assess the credit risk of individuals or businesses. Professionals in this role analyze financial data, borrower behavior, and economic trends to predict the likelihood of default and assist in making informed lending decisions. They use techniques such as logistic regression, machine learning, and Monte Carlo simulations to quantify risk. Credit risk modelers work closely with risk management teams, regulators, and financial institutions to ensure compliance with industry standards. Their insights help optimize loan approvals, set credit limits, and manage overall portfolio risk.

What are the typical daily responsibilities in credit risk modeling?

Professionals in Credit Risk Modeling spend their days developing and validating statistical models to assess the likelihood of credit defaults, analyzing large data sets to identify risk factors, and compiling detailed reports on their findings. They collaborate closely with data scientists, underwriters, credit analysts, and sometimes regulatory teams to ensure models meet business and compliance standards. Additionally, they often participate in meetings to discuss portfolio performance or proposed policy changes. This role involves a balance of technical analysis, documentation, and cross-functional communication, making it dynamic and integral to financial decision-making.

What are the key skills and qualifications needed to thrive in credit risk modeling?

To thrive in Credit Risk Modeling, you need strong analytical skills, proficiency in statistics and finance, and typically a degree in mathematics, statistics, economics, or a related field. Familiarity with programming languages like Python, R, or SAS, as well as experience using statistical modeling software and risk management platforms, are highly valued. Excellent communication, critical thinking, and collaborative abilities help translate complex data insights for stakeholders and work effectively within cross-functional teams. These skills are crucial for designing accurate risk models that inform sound lending decisions and maintain financial stability for organizations.

What are popular job titles related to Credit Risk Modeling jobs in Georgia?

For Credit Risk Modeling jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Credit Risk Modeling jobs in Georgia look for?

The top searched job categories for Credit Risk Modeling jobs in Georgia are:

Credit Risk Modeling jobs near you
Infographic showing various Credit Risk Modeling job openings in Georgia as of September 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $84,447 per year, or $40.6 per hour.

Director, Lending & Credit Risk Analytics

Alpharetta, GA • On-site

ValidiFI
Finance and Insurance • 11 - 50 employees
Learn more about ValidiFIexternal

$125 - $150/hr

Other

Medical, Retirement

Re-posted 24 days ago

Job description

Director, Lending & Credit Risk Analytics

The Director of Lending & Credit Risk Analytics is a senior, customer-facing leader within ValidiFI’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 ValidiFI’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 ValidiFI’s internal authority on lending, underwriting, fraud, and credit‑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 early‑life performance indicators
  • Act as the final interpretive checkpoint for customer‑facing lending analyses prior to delivery
  • Review and approve analytical outputs for accuracy, relevance, and real‑world defensibility

Customer Analytics Management

  • Own prioritization, scoping, and execution of customer‑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 lender‑specific
    questions and insights
  • Translate lender feedback into structured input for R&D, highlighting gaps between
    model output, lender interpretation, and real‑world decision constraints
  • Influence product roadmap priorities and go‑to‑market messaging based on lender
    realities and market norms

Strategic Platform Ownership

  • Serve as the public and internal face of ValidiFI’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 lender‑facing analytical
    work
Qualifications:
  • 7–10+ years of experience in lending, credit risk, fraud analytics, or financial risk
  • Direct experience supporting banks, fintech lenders, or non‑prime / alternative credit providers
  • Deep understanding of underwriting and credit policy design, fraud detection techniques, portfolio monitoring, and early‑risk indicators
  • Familiarity with regulatory and compliance considerations relevant to lending
  • Ability to combine quantitative outputs with real‑world lending judgment to produce
    conclusions that withstand scrutiny from both technical and business stakeholders
  • Strong ability to translate complex analytics into clear, lender‑ready narratives
  • Fluent in core data‑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 you’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, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

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