Fraud AI Platform Director — Real-Time Risk & Innovation

Next Frontier Capital

New York (NY)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Health care coverage
Retirement savings plan
Discretionary incentive compensation

Job summary

Chase is seeking a Product Director for the Consumer & Community Banking Fraud Strategy organization. You will own the product vision and multi-year roadmap for a real-time fraud intelligence platform that protects millions of customers across digital banking, payments, and financial ecosystems.

You will lead product strategy leveraging transformer-based ML, graph intelligence, and MLOps to detect fraud rings and multi-step schemes, partnering with Fraud Ops, Data Science, Engineering, and Risk

Qualifications

  • Bachelor's degree or higher in a related field.
  • Experience delivering ML-enabled products or fraud-related platforms.
  • Strong communication and executive presence for business value translation.

Responsibilities

  • Owns product roadmap and vision for fraud prevention platform.
  • Leads full product lifecycle from planning to delivery and risk management.
  • Mentors product team and drives cross-functional collaboration.
  • Defines success metrics and experiments; turns POCs into production.
  • Engages with executives to communicate strategy and outcomes.

Skills

Executive presence
Machine Learning fluency
Cross-functional leadership
Data analytics
Storytelling

Education

Bachelor's degree
Advanced degree in CS/ML

Tools

Graph ML platforms
MLOps tooling

Job description

Chase is seeking a Product Director for the Consumer & Community Banking Fraud Strategy organization. You will own the product vision and multi-year roadmap for a real-time fraud intelligence platform that protects millions of customers across digital banking, payments, and financial ecosystems.

You will lead product strategy leveraging transformer-based ML, graph intelligence, and MLOps to detect fraud rings and multi-step schemes, partnering with Fraud Ops, Data Science, Engineering, and Risk

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