Manager Data Science - Fraud

ADP is Hiring a Manager Data Science - Fraud Job Summary

The Manager, Fraud Data Science is responsible for the performance, optimization, governance, and strategic expansion of ADP's Fraud Prevention Platform (FPP) and its associated fraud controls. This role owns the platform's real-time decisioning capabilities, including rules, models, decision strategies, third-party risk signals, AI-driven fraud detection capabilities, and control frameworks, ensuring they remain aligned with evolving fraud threats, enterprise risk appetite, client experience, and business growth objectives.

FPP is a foundational component of ADP's fraud strategy, and this role will help rapidly mature the platform, broaden its use cases, and expand its capabilities across ADP. The Manager will partner closely with other leaders across Global Fraud Prevention, Global Security, business teams, and engineering to translate emerging threats, fraud intelligence, investigative insights, and operational feedback into scalable, production-ready fraud controls that address an ever-changing fraud risk landscape.

This role will help shape the future direction of fraud decisioning cess requires deep fraud prevention expertise, strong analytical and technical aptitude, experience with modern fraud decisioning platforms such as Feedzai, and the ability to balance fraud risk, client experience, operational efficiency, and business growth while continuously advancing the capabilities and adoption of ADP's enterprise fraud platform.

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ADA version:

• Own the strategy, performance, resilience, governance, and continuous evolution of the Fraud Prevention Platform (FPP) and its associated fraud controls.
• Drive real-time fraud decisioning capabilities, including rules, models, AI-enabled detection capabilities, decision strategies, and third-party risk signals to address evolving fraud threats and business needs.
• Monitor and optimize platform effectiveness through defined performance metrics, including fraud prevented, fraud losses, detection rates, false positive rates, operational impact, transaction volumes, and decision latency.
• Establish model and decisioning performance, testing, and experimentation frameworks, including champion‑challenger strategies, A/B testing, simulation, controlled rollouts, and post‑implementation validation to measure effectiveness, improve business outcomes, and support risk‑based decision making.
• Develop closed‑loop performance improvement processes that leverage fraud outcomes, production monitoring, threat intelligence, investigative findings, and operational feedback to continuously enhance fraud controls, decision strategies, and model performance.
• Oversee platform health and resilience, including uptime, transaction processing, integrations, third‑party data providers, and system performance. Establish processes to rapidly identify and resolve service disruptions, data issues, and degraded control performance.
• Establish and maintain governance and change‑management processes covering rule and model deployment, testing, approvals, documentation, monitoring, rollback, and ongoing performance management.
• Evaluate, optimize, and govern third‑party fraud, identity, device intelligence, behavioral, consortium, and other risk data sources to maximize decision quality, fraud detection effectiveness, and return on investment.
• Define and execute the roadmap to mature FPP and expand fraud decisioning capabilities across products, channels, client segments, and enterprise use cases, including the adoption of advanced analytics and AI‑driven capabilities.
• Partner within the Global Fraud Prevention group as well as with Global Security, Engineering,…