# Lead Risk Data Scientist & ML Engineer Source: https://realanalystjobs.com/job/lead-risk-data-scientist-and-ml-engineer-global-payments-cc884031 Lead Risk Data Scientist & ML Engineer at Global Payments, an on-site role based in Alpharetta, Georgia, USA. Pay stated in the posting: $150,300.00 to 201,400.00. Posted on 23 October 2026, read from Global Payments' own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Global Payments has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Global Payments](https://realanalystjobs.com/companies/global-payments) - Location: Alpharetta, Georgia, USA - Work mode: On-site - Pay stated in the posting: $150,300.00 to 201,400.00 - Posted: Oct 23, 2026 - Employment type: Full time - Source: Global Payments' careers page (Workday), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Snowflake, AWS ## Visa sponsorship The posting does not say. Global Payments had H-1B petitions approved for 14 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/global-payments#h1b-record) ## About this role 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. $150,300.00 - 201,400.00 The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. Benefits: Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment op Description from Global Payments' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-risk-data-scientist-and-ml-engineer-global-payments-cc884031) and use Apply now there to reach the employer's application. The listing is re-checked against Global Payments' careers page daily and removed when it closes. ## Global Payments 36 open analyst roles on Real Analyst Jobs. [More roles at Global Payments](https://realanalystjobs.com/companies/global-payments) ## Visa, OPT and US job pages for data scientists - [H-1B sponsors hiring data scientists](https://realanalystjobs.com/h1b-sponsors/data-scientist) - [Data scientist jobs for OPT students](https://realanalystjobs.com/opt-jobs/data-scientist) - [Data scientist jobs with visa sponsorship](https://realanalystjobs.com/data-science-jobs/visa-sponsorship) - [Data scientist H-1B salary and sponsors](https://realanalystjobs.com/h1b-salary/data-scientist) - [Entry level data scientist jobs](https://realanalystjobs.com/data-science-jobs/entry-level) ## More like this ### Other open roles at Global Payments - [Data Analyst - BI](https://realanalystjobs.com/job/data-analyst-bi-global-payments-8d87d3dd), Pune, India (On-site) - [Payroll Tax Analyst II](https://realanalystjobs.com/job/payroll-tax-analyst-ii-global-payments-9714473a), Columbus Georgia, USA (On-site) - [Sr. Business Analyst - Knowledge Management](https://realanalystjobs.com/job/sr-business-analyst-knowledge-management-global-payments-e77098f5), Alpharetta Georgia, USA (On-site) - [Information Security Analyst II](https://realanalystjobs.com/job/information-security-analyst-ii-global-payments-1b00f900), Columbus Georgia, USA (On-site) - [Information Security Analyst I](https://realanalystjobs.com/job/information-security-analyst-i-global-payments-814d9478), Columbus Georgia, USA (On-site) - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-risk-data-scientist-and-ml-engineer-global-payments-cc884031) - [Global Payments on Real Analyst Jobs](https://realanalystjobs.com/companies/global-payments) - [All analyst jobs](https://realanalystjobs.com/jobs)