Fraud Data Science Platform Lead

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Roseland (NJ)

On-site

USD 150,000 - 190,000

Full time

4 days ago

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Job summary

ADP is seeking a Manager Data Science - Fraud to lead the Fraud Prevention Platform (FPP), drive real-time decisioning, and expand fraud controls across products and clients. You will partner with Global Fraud Prevention, Global Security, engineering, and business teams to translate evolving threats into scalable fraud controls and measurable outcomes.

The role requires deep fraud prevention expertise, strong analytics, Python, SQL, and hands-on experience with modern fraud decisioning

Qualifications

Bachelor’s degree or equivalent practical experience in risk management, fraud analytics, data science, computer science, statistics, engineering, or a related field.
Advanced degree preferred in quantitative field.

Responsibilities

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, and business stakeholders to translate fraud risks and requirements into scalable platform capabilities and measurable business outcomes.
Serve as the enterprise subject matter expert for FPP, advising stakeholders on platform capabilities, decisioning strategies, AI/ML-enabled functionality, integrations, data requirements, and fraud control effectiveness.