Product Manager - Fraud AI/ML
Accounting & Finance, Software Engineering, Product, Data Science
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.
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Drive the future of fraud prevention with AI.