Lead Risk ML Engineer & Fraud Detection Architect

Global Payments; Alpharetta (GA); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Global Payments in Alpharetta, GA is 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 to ship at scale.

You will design, validate, deploy, and monitor models for fraud, AML, and credit risk, build scalable data pipelines, and lead cross-functional teams with Compliance and Technology to meet regulatory expectations.

Competenze

• 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

Mansioni

• 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
• 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
• Define governance standards for model development, validation, documentation, and change management
• Partner with Fraud Operations, Compliance, and Technology teams to enable detection capability implementation
• Lead cross‑functional project teams through ML model and AI workflow development, from conception to deployment
• Provide technical guidance and mentorship to data scientists and engineers

Conoscenze

Data science

Fraud models

ML engineering

MLOps

Regulatory experience

Python

SQL

Strumenti

Databricks

Snowflake

SageMaker

Git

GitHub Actions

CI/CD

Descrizione del lavoro

Global Payments in Alpharetta, GA is 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 to ship at scale.

You will design, validate, deploy, and monitor models for fraud, AML, and credit risk, build scalable data pipelines, and lead cross-functional teams with Compliance and Technology to meet regulatory expectations.