Lead Risk Data Scientist & ML Engineer
Global Payments20 days ago
Alpharetta, GA, USAStaff+
Base Salary
$150k - $201k/yr
Responsibilities
- Own the end-to-end lifecycle of fraud, credit, and AML detection models from design and validation through production deployment, serving, monitoring, and retraining.
- Design and oversee scalable batch and real-time data pipelines supporting model development and serving.
- Design and deploy AI-assisted analyst workflows and agent-based systems using LLMs and agentic frameworks.
- Define detection strategies and monitor precision, recall, false positives, alert quality, and related performance tradeoffs.
- Establish model governance standards for development, validation, documentation, explainability, auditability, and change management.
- Ensure alignment with BSA/AML, OFAC, FinCEN, and SR 11-7 regulatory expectations.
- Translate regulatory and operational needs into technical execution plans and partner with Risk, Compliance, Fraud Operations, and Technology teams.
- Lead cross-functional projects, set priorities and delivery accountability, and provide technical guidance and mentorship to data scientists and engineers.
Requirements
- 7+ years of experience in data science, machine learning, or MLOps.
- Proven experience developing, deploying, and maintaining production detection models for fraud, AML, or credit risk.
- Hands-on experience with AI-assisted workflows, LLMs, and agentic frameworks, including pilot-stage deployments.
- Strong proficiency in Python and SQL.
- MLOps experience with Git, GitHub Actions, model monitoring, retraining pipelines, and infrastructure automation.
- Hands-on experience with Databricks, Snowflake, and AWS SageMaker.
- Expertise with AWS services including SageMaker, Glue, Lambda, and EventBridge.
- Familiarity with foundational models such as Claude and GPT and agent orchestration tools such as AWS AgentCore and LangChain.
- Understanding of fraud typologies, AML transaction monitoring methodologies, detection system design, model risk management frameworks, and regulatory interactions.
- Experience in regulated financial services or fintech environments is preferred.
- Resourcefulness, execution focus, collaborative leadership, and the ability to operate across Risk, Compliance, and Technology functions are required.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Employee assistance programs, paid time off, recognition programs, retirement and investment options, charitable gift matching, and worldwide days of service.
- Hybrid work arrangement indicated by the posting.
- Applications are due December 1, 2026.
Categories
About Global Payments
Global Payments is a public payment technology and merchant services company that provides card acceptance, ecommerce, POS, and integrated software to businesses and financial institutions. It earns primarily from transaction processing fees and software subscriptions, and trades on the NYSE as GPN. Headquartered in Atlanta, it is a Fortune 500 company and combined with TSYS in 2019 to add issuer processing and banking partnerships.