Lead Risk Data Scientist & ML Engineer

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

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

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

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

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

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

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

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

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.

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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.