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Senior Model Risk Management Jobs in Duluth, GA (NOW HIRING)

Ryan Specialty

Catastrophe Risk Analyst

Atlanta, GA

$72K - $90K/yr

Prepare reports and presentations for senior management, highlighting risk exposure and mitigation strategies. * Develop and maintain catastrophe risk models, ensuring accuracy and reliability.

Ryan Specialty

Catastrophe Risk Analyst

Atlanta, GA · On-site

$72K - $90K/yr

Prepare reports and presentations for senior management, highlighting risk exposure and mitigation strategies. * Develop and maintain catastrophe risk models, ensuring accuracy and reliability.

Bank of America

Quantitative Finance Analyst

Atlanta, GA · On-site

... risk * Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes * Performs statistical analysis on large datasets and interprets ...

Truist

Senior Capital Markets Risk Officer

Atlanta, GA · On-site

... senior member of the Market & Liquidity Risk Management (MRLM) team within the Risk Management ... models. * Provide analytical direction, expertise, advice as well as management support to the ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

$210K - $280K/yr

This role requires a deep understanding of statistical modeling, machine learning algorithms, and risk management frameworks. The ideal candidate will work closely with data scientists, engineers ...

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Showing results 21-40

All JobsModel Risk Management JobsSenior Model Risk Management JobsSenior Model Risk Management Jobs in Duluth, GA

Senior Model Risk Management information

See Duluth, GA salary details

$20.7K

$108.8K

$193.3K

How much do senior model risk management jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior model risk management in Duluth, GA is $108,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Model Risk Management vs Model Validation Analyst?

AspectSenior Model Risk ManagementModel Validation Analyst
CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFASimilar credentials; often holds CFA, FRM, or related certifications
Work EnvironmentStrategic oversight, risk assessment, policy development within financial institutionsHands-on model testing, validation, and documentation in quantitative teams
Industry UsageUsed across banking, insurance, asset management for risk governancePrimarily in banking and financial services for model validation roles

While both roles require quantitative expertise and relevant certifications, Senior Model Risk Management focuses on overseeing and managing model risks at a strategic level, whereas Model Validation Analysts concentrate on testing and validating models to ensure accuracy and compliance.

What are the most commonly searched types of Model Risk Management jobs in Duluth, GA?

The most popular types of Model Risk Management jobs in Duluth, GA are:

What job categories do people searching Senior Model Risk Management jobs in Duluth, GA look for?

The top searched job categories for Senior Model Risk Management jobs in Duluth, GA are:

What cities near Duluth, GA are hiring for Senior Model Risk Management jobs?

Cities near Duluth, GA with the most Senior Model Risk Management job openings:

Senior Model Risk Management jobs near you
Infographic showing various Senior Model Risk Management job openings in Duluth, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $108,848 per year, or $52.3 per hour.

Lead Risk Data Scientist & ML Engineer

Worldpay

Atlanta, GA • On-site

Full-time

Re-posted 15 days ago

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.

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