ZipRecruiter

Log In

1

Credit Risk Developer Jobs in Georgia (NOW HIRING)

Credigy

Data & Model Operations Engineer

Norcross, GA · 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 ...

Credigy

Data & Model Operations Engineer

Norcross, GA · 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 ...

Fiserv, Inc.

Lead Software Engineer

Alpharetta, GA · On-site

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Partner with application security, cyber risk, DevOps, architecture, QA, and infrastructure teams ...

RELX Group plc

Software Engineer II

Alpharetta, GA · On-site

$65K - $108K/yr

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Design, build, and maintain CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions.

RELX

Software Engineer II

Alpharetta, GA

$65K - $108K/yr

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Design, build, and maintain CI/CD pipelines using Azure DevOps, Jenkins, or GitHub Actions.

Monitise

Lead Software Engineer

Alpharetta, GA

Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, w ... Partner with application security, cyber risk, DevOps, architecture, QA, and infrastructure teams ...

previous pagenext page

Showing results 21-40

All JobsCredit Risk Developer JobsCredit Risk Developer Jobs in Georgia

Credit Risk Developer information

What is the difference between Credit Risk Developer vs Credit Analyst?

AspectCredit Risk DeveloperCredit Analyst
Required CredentialsBachelor's in Finance, Economics, or related field; often some programming knowledgeBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentDevelops risk models, works with data and software toolsAnalyzes credit data, assesses borrower risk, prepares reports
Employer & Industry UsageFinancial institutions, banks, credit agenciesBanks, lending institutions, credit bureaus

While both roles focus on credit, the Credit Risk Developer primarily builds and maintains risk models using programming and data analysis, whereas the Credit Analyst evaluates individual creditworthiness and prepares risk assessments. Both roles are essential in credit decision processes but differ in technical focus and daily tasks.

What is a credit risk developer?

Credit Risk Developers are specialized software developers who design, build, and maintain systems that assess and manage financial risk for lending institutions or investment firms. They create algorithms and tools that analyze credit data, model potential losses, and ensure compliance with regulatory requirements. Their work supports decision-making processes related to lending, underwriting, and portfolio management. Typically, they collaborate closely with risk analysts, data scientists, and financial professionals to develop solutions that improve risk assessment accuracy and efficiency.

How does a credit risk developer typically collaborate with risk analysts and business stakeholders?

A Credit Risk Developer often works closely with risk analysts to understand credit risk models and translate their requirements into robust software solutions. Regular meetings with business stakeholders are common to gather feedback, ensure alignment with regulatory standards, and adapt to changing business needs. This role requires strong communication skills to bridge the gap between technical and non-technical teams, ensuring that risk assessment tools are both accurate and user-friendly.

What are the key skills and qualifications needed to thrive as a credit risk developer?

To thrive as a Credit Risk Developer, you need strong programming skills (such as Python, Java, or C++), a solid background in mathematics or finance, and experience with credit risk modeling. Familiarity with risk management systems, statistical analysis tools, and relevant certifications (like FRM or CFA) is often required. Exceptional problem-solving abilities, collaboration, and clear communication set outstanding candidates apart. These skills ensure accurate development and maintenance of credit risk models, enabling effective risk mitigation and regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Developer jobs in Georgia? For Credit Risk Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Credit Risk Developer jobs in Georgia look for? The top searched job categories for Credit Risk Developer jobs in Georgia are:
What cities in Georgia are hiring for Credit Risk Developer jobs? Cities in Georgia with the most Credit Risk Developer job openings:
Credit Risk Developer jobs near you

Lead Risk Data Scientist & ML Engineer

Worldpay

Atlanta, GA • On-site

Full-time

Re-posted just now

Job description

Job Description
Ready to take your career global?
Make your mark at one of the biggest names in payments. We are seeking a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models. This role combines deep data science expertise with practical AI/agentic workflow experience and the infrastructure knowledge needed to ship at scale.
What You'll Own
In this role, you'll own the end-to-end delivery of detection models and AI-assisted workflows that power fraud, credit, and AML risk operations. You'll drive model performance through the full lifecycle, from design and validation through production deployment and continuous optimization. You'll translate regulatory requirements and operational needs into detection strategies and technical execution plans, partner across Risk, Compliance, and Technology to ensure alignment, and lead project teams through complex, ambiguous detection challenges. This is a hands-on role that combines deep technical leadership with pragmatic problem-solving in a small, high-impact team.
Model Development & Deployment (End-to-End)
  • Own the full lifecycle of ML models: design, development, validation, deployment, and serving in production
  • Lead model performance monitoring and continuous refinement using production data and investigation outcomes
  • Ensure models are explainable, auditable, and aligned with regulatory expectations
  • Design and oversee scalable batch and real-time data pipelines supporting model development and serving

AI & Agentic Workflows
  • Design and deploy AI-assisted analyst workflows using LLMs and agentic frameworks
  • Guide the development of agent-based systems that augment human decision-making in risk operations
  • Work at the pilot/proof-of-concept stage, establishing best practices for scale

Detection Strategy & Performance
  • Define and refine detection strategies based on emerging fraud patterns and regulatory requirements
  • Maintain and monitor key performance metrics (precision, recall, false positives, alert quality)
  • Influence tradeoff decisions between detection coverage, operational cost, and false positive rates

Governance & Regulatory Alignment
  • Define governance standards for model development, validation, documentation, and change management
  • Ensure compliance with regulatory expectations (BSA/AML, OFAC, FinCEN, SR 11-7)
  • Partner with Model Risk Management and Compliance to support validation and regulatory reviews

Cross-Functional Partnership
  • Serve as the primary technical partner to Fraud Operations, Compliance, and Technology teams
  • Translate regulatory and operational requirements into technical execution plans
  • Drive alignment across teams to enable effective detection capability implementation

Team Leadership & Project Ownership
  • Lead cross-functional project teams through ML model and AI workflow development, from conception to deployment
  • Establish clear priorities, performance expectations, and delivery accountability for project work
  • Provide technical guidance and mentorship to data scientists and engineers executing on risk initiatives
  • Build and strengthen team capabilities across detection modeling, data engineering, and AI/agentic systems

What you'll bring:
Experience
  • 7+ years in data science, machine learning or MLOps
  • Proven experience developing, deploying, and maintaining detection models (fraud, AML, or credit risk) in production environments
  • Hands-on experience with AI-assisted workflows, LLMs, and agentic frameworks (including pilot-stage deployments)
  • Experience in regulated financial services or fintech environments preferred
  • Exposure to model risk management frameworks (SR 11-7) and regulatory interactions

Technical & Domain Expertise
  • Strong proficiency in Python and SQL
  • MLOps experience: Git, GitHub Actions, CI/CD practices, model monitoring, retraining pipelines, infrastructure automation
  • Hands-on experience with data science platforms (Databricks, Snowflake, AWS SageMaker)
  • AWS ecosystem expertise: SageMaker, Glue, Lambda, EventBridge, and related services
  • Familiarity with LLM and agentic frameworks: foundational models (Claude, GPT, etc.), agent orchestration tools (AWS AgentCore, LangChain, etc.)
  • Understanding of fraud typologies, AML transaction monitoring methodologies, and detection system design

Leadership Profile
  • Resourceful and versatile: thrives in a small, fast-moving team; comfortable wearing multiple hats and delivering with constrained resources
  • Startup mentality: pragmatic problem-solver who ships solutions; bias toward execution and measurable outcomes
  • Combines technical depth with collaborative leadership. Guides project teams through ambiguous problems and drives clarity, structure, and delivery
  • Collaborates effectively across Risk, Compliance, and Technology functions; comfortable operating in ambiguity and translating strategy into action

About the team
Our inclusive and global teams win together every day. We're proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections - it's unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We're curious and innovative -always finding better ways to deliver impact. We empower each other to make decisions, and it's our passion that drives excellence in everything we set out to do.
#LI-BJ1
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Apply