Product Manager – Fraud AI/ML

Job Description

Join a high-impact team where your expertise in machine learning and artificial intelligence directly protects millions of customers while shaping the next generation of fraud prevention technology at one of the world’s largest financial institutions.

As a Fraud AI/ML Platform Product Manager within the Fraud Strategy organization, you will define and drive the multi-year vision for advanced fraud prevention platforms. These platforms span machine learning models, graph intelligence, dynamic feature ecosystems, and modern MLOps capabilities. You will partner closely with Data Science, Engineering, Fraud Operations, and Model Risk Management teams to deliver measurable reductions in fraud loss while preserving an exceptional customer experience.

Your work will influence how the firm detects sophisticated fraud rings, coordinated attacks, and multi-step schemes at massive scale across payments and banking products.

Key Responsibilities

• Define and communicate the multi-year platform strategy and roadmap for fraud models, feature infrastructure, graph intelligence, and MLOps capabilities across all payment and banking products.
• Manage an experimentation roadmap with clear success criteria and measurable lift metrics, converting proven proof-of-concepts into production capabilities that reduce fraud loss.
• Define the dynamic feature ecosystem, including streaming features, feature discovery processes, online/offline parity, and feature store architecture that balances performance, freshness, and reliability.
• Oversee the productization of graph intelligence capabilities, including entity schema design, graph feature and embedding strategy, operational contracts for freshness and latency, and explainability requirements for fraud ring detection.
• Partner with Product, Engineering, Data Science, Fraud Operations, and Model Risk Management teams to address emerging fraud threats and ensure timely capability delivery.
• Stay ahead of industry trends in adversarial ML, graph neural networks, sequence modeling, reinforcement learning, and MLOps practices.
• Communicate complex technical concepts and platform capabilities clearly to executive leadership and cross-functional stakeholders.

This role requires a product leader who can translate advanced technical capabilities into clear business outcomes. You will own prioritization, roadmap execution, and value measurement while operating in a highly regulated, matrixed environment.

Success is measured by reductions in fraud loss, improved model performance, faster experimentation cycles, strong governance and controls, and the ability to scale capabilities across the firm’s vast product portfolio.

Ideal candidates bring deep product management experience combined with hands-on familiarity with modern ML systems. You should be comfortable discussing transformer-based architectures, continuous learning platforms, feature stores, and the operational realities of deploying models in production at enterprise scale.

You will work at the intersection of cutting-edge AI research and real-world risk management, helping protect customers and the firm while enabling seamless digital experiences. This is a rare opportunity to shape a core defensive technology platform at global scale.

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.