Lead Risk Data Scientist & ML Engineer

Global Payments; United States; Sur place; USD 180 000 - 250 000; Plein temps

Résumé du poste

Global Payments in the United States seeks a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models. You will lead end-to-end model development, deployment, and AI-assisted workflows, collaborating with Risk, Compliance, and Technology to scale solutions and ensure regulatory alignment.

This role combines deep technical leadership with pragmatic problem-solving in a fast-moving team, shaping detection strategies and governance across the

Qualifications

• 7+ years in data science, machine learning or MLOps.
• Experience deploying fraud/AML/credit risk models in production.
• Hands-on with AI-assisted workflows and agentic frameworks.
• Regulated financial services or fintech exposure preferred.
• Knowledge of SR 11-7 and model risk management.

Responsabilités

• Own end-to-end delivery of detection models and AI-assisted workflows.
• Drive model performance across lifecycle; production deployment.
• Translate regulatory requirements into detection strategies for risk operations.
• Lead cross-functional teams across Risk, Compliance, and Technology.
• Lead ML model development and AI workflow projects from conception to deployment.
• Mentor data scientists and engineers.
• Develop scalable data pipelines for model development and serving.
• Ensure models are explainable and auditable.

Connaissances

Data science

Machine learning

MLOps

Python

SQL

AWS SageMaker

Databricks

Snowflake

LLMs

Agentic workflows

Fraud risk

Regulatory knowledge

Outils

Git

GitHub Actions

CI/CD

Model monitoring

Infrastructure automation

Description du poste

Job Description Job Posting 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 trade‑off 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.

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EEOC Statement Global Payments is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify [e-mail].

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test.

In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

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At Global Payments (NYSE : GPN), we empower simple, fast, secure payments for everyone.

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EEOC Statement: Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify [e-mail].