Senior Risk ML Engineer - Fraud, AML & AI Workflows

WORLDPAY, LLC; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Worldpay is seeking a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models in production. You will design, validate, deploy, and monitor models that power fraud, AML, and credit risk operations, while building scalable data pipelines and AI-assisted workflows.

You will lead cross-functional teams across Risk, Compliance, and Technology, ensure regulatory alignment, and mentor junior data scientists.

Qualifications

• 7+ years in data science, ML, or MLOps within regulated financial services.

Responsibilities

• Own end-to-end model development, validation, deployment, and monitoring.

Skills

ML & Risk Modeling

Python

SQL

MLOps

Tools

Databricks

Snowflake

AWS SageMaker

GitHub Actions

Job description

Worldpay is seeking a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models in production. You will design, validate, deploy, and monitor models that power fraud, AML, and credit risk operations, while building scalable data pipelines and AI-assisted workflows.

You will lead cross-functional teams across Risk, Compliance, and Technology, ensure regulatory alignment, and mentor junior data scientists.