Senior Risk ML Architect: Fraud, AML & AI Ops

Global Payments Inc.; Alpharetta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Global Payments Inc. in Alpharetta, GA is seeking a Lead Risk Data Scientist & ML Engineer to own end-to-end fraud detection and risk models.

You will design, deploy, and monitor production models and AI-enabled workflows, partnering with Risk, Compliance, and Technology to meet regulatory requirements and drive measurable risk reductions. This hands-on leadership role blends advanced data science with scalable platform experience.

Qualifications

• 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).

Responsibilities

• 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.
• 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.
• 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.
• Define governance standards for model development, validation, documentation, and change management.
• Ensure regulatory alignment (BSA/AML, OFAC, FinCEN, SR 11-7) and collaborate with Model Risk Management.
• Partner with Compliance to support validation and regulatory reviews.
• 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.
• Lead cross-functional project teams through ML model and AI workflow development, from conception to deployment.
• Establish priorities, performance expectations, and delivery accountability.

Skills

Data science

Machine learning

MLOps

Leadership

Communication

Tools

Python

SQL

Databricks

Snowflake

AWS SageMaker

Git

CI/CD

LangChain

Claude / GPT

Job description

Global Payments Inc. in Alpharetta, GA is seeking a Lead Risk Data Scientist & ML Engineer to own end-to-end fraud detection and risk models.

You will design, deploy, and monitor production models and AI-enabled workflows, partnering with Risk, Compliance, and Technology to meet regulatory requirements and drive measurable risk reductions. This hands-on leadership role blends advanced data science with scalable platform experience.