Bulge Bracket Investment Banks

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**Product Manager - Fraud AI/ML**: Steer multi-year platform strategy for advanced fraud prevention. Define roadmap for ML, graph intelligence, and MLOps. Collaborate with cross-functional teams to deliver fraud loss reduction. 5+ years in product management, hands-on with Transformer-based ML systems and MLOps. Bachelor's degree required.

Compensation: Not specified USD
City: Jersey City
Country: United States

Full Job Description

Location: Jersey City, NJ, United States

Join a team where your expertise in machine learning and AI directly protects millions of customers and shapes the next generation of fraud prevention technology.

As a Fraud AI/ML Platform Product Manager in the Fraud Strategy organization, you will define and drive the multi-year vision for advanced fraud prevention platforms spanning machine learning, graph intelligence, and MLOps. You will partner with Data Science, Engineering, Fraud Operations, and Model Risk Management to deliver measurable reductions in fraud loss while preserving an exceptional customer experience. Your work will directly influence how we detect fraud rings, coordinated attacks, and sophisticated multi-step schemes at scale.

Job 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

Required qualifications, capabilities, and skills

5 years of experience in product management or a relevant domain area

Advanced knowledge of the product development life cycle, design, and data analytics

Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management

Experience with Transformer-based ML systems, graph intelligence, continuous learning platforms, or MLOps

Bachelor's degree required

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.

Drive the future of fraud prevention with AI.

Full Job Description

Location: Jersey City, NJ, United States

Join a team where your expertise in machine learning and AI directly protects millions of customers and shapes the next generation of fraud prevention technology.

Job 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

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

Required qualifications, capabilities, and skills

5 years of experience in product management or a relevant domain area

Advanced knowledge of the product development life cycle, design, and data analytics

Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management

Experience with Transformer-based ML systems, graph intelligence, continuous learning platforms, or MLOps

Bachelor's degree required

Drive the future of fraud prevention with AI.

Product Manager - Fraud AI/ML

Full Job Description

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Full Job Description

SIMILAR OPPORTUNITIES

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