Fraud AI/ML Platform Product Director

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$180,500–$285,000 / yr
Posted
18 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $191k
This role $233k
$128k most similar roles pay here $302k

This role pays more than 81% of similar roles. Most pay $162,000–$220,825 — the shaded band above. At the midpoint, this role pays about $233k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 384 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 202 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Fraud AI/ML Platform Product Director

Role Posting Log in to save

As a Product Director in Consumer & Community Banking's Fraud Strategy organization, you will drive the development of a next-generation real-time fraud intelligence platform, leveraging advanced machine learning and artificial intelligence. Your responsibilities include defining the product vision and roadmap, overseeing the entire lifecycle from planning to delivery, and ensuring continuous innovation in areas like dynamic feature engineering, graph-based risk detection, and sequence modeling. You will work closely with Fraud Operations, Data Science, Engineering, Product, and Model Risk Management teams to deliver fraud prevention solutions that reduce losses while maintaining a superior customer experience. Key skills required include extensive knowledge of machine learning, data systems, and production constraints, as well as proven leadership in building ML-enabled products and managing cross-functional teams. This role demands deep expertise in adversarial domains such as fraud and cybersecurity, along with strong technical fluency and the ability to communicate complex technical concepts to senior leaders.

Skills

ML AI MLOps Graph Intelligence Transformer-based ML Feature Engineering Sequence Modeling CI/CD Model Risk Management Data Analytics Product Lifecycle Management Fraud Detection Payments Risk Cybersecurity Feature Stores Representation Learning Temporal Modeling Financial Services Model Governance

What you'll do

  • Oversees product roadmap and vision for fraud prevention platform.
  • Leads development of dynamic feature infrastructure and graph intelligence capabilities.
  • Establishes standards for end-to-end model lifecycle management and governance.
  • Converts validated prototypes into production capabilities with clear success criteria.
  • Builds partnerships and develops high-performing teams across functions.

What we're looking for

  • Over 8 years of experience in product development and delivery.
  • Extensive knowledge in machine learning, data analytics, and technical design.
  • Proven ability to manage cross-functional teams including Product, Engineering, Data Science, and Operations.
  • Deep expertise in fraud prevention, payments risk, or similar adversarial domains.
  • Strong track record in leading the lifecycle of ML-enabled products in production environments.
  • Advanced communication skills for translating technical concepts to business value.

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