Lead Risk Data Scientist & ML Engineer
Role Overview
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.
Key Skills for This Role
Full Job Posting
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
Worldpay 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.
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.
Preferred Qualifications
- Experience in regulated financial services or fintech environments preferred
About Worldpay
Global payment processing and merchant technology solutions for businesses.
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