JP Morgan Chase & Co.

Fraud AI/ML Platform Product Director

JP Morgan Chase & Co.$150K — $200K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in product delivery or technology applications
  • In-depth knowledge of product development, technical design, and data analytics
  • Ability to influence product lifecycle activities and drive change
  • Bachelor's degree is required
  • 5+ years in building or owning ML-enabled products for fraud or decisioning systems
  • Expertise in fraud, risk, or cybersecurity domains
  • Strong technical fluency with machine learning and data systems

Responsibilities

  • Oversee product vision and manage multi-year roadmap for fraud intelligence platform
  • Lead the product life cycle, continuously adapting methodologies to meet business targets
  • Coach product teams on best practices for solution generation and delivery
  • Own product performance and drive enhancements to meet business objectives
  • Conduct competitive analysis to identify product differentiation opportunities
  • Lead experimentation with clear metrics to validate POCs and enhance customer experience
  • Establish standards for model lifecycle to ensure reliable deployment

Benefits

  • Collaborative work environment with cross-functional partnerships
  • Opportunities for professional development and coaching
  • Access to cutting-edge technology and innovative tools
  • A significant role in protecting millions of customers
  • Exposure to industry trends and best practices in fraud prevention
Full Job Description
JOB DESCRIPTION
As a Product Director in the Consumer & Community Banking Fraud Strategy organization, you will play a pivotal role in defining the future of fraud prevention through advanced machine learning and artificial intelligence. In this senior leadership position, you will own the product vision and multi-year roadmap for a next-generation, real-time fraud intelligence platform that protects millions of customers across digital banking, payments, and financial ecosystems.
 
Leverage your expertise in transformer-based ML, graph intelligence, continuous learning, and modern MLOps, you will build capabilities to detect fraud rings, coordinated attacks, and multi-step fraud schemes. You will drive innovation in dynamic feature engineering, graph-based risk detection, sequence modeling, and experimentation frameworks to rapidly deliver governed fraud models that protect customers. Partnering with Fraud Operations, Data Science, Engineering, Product, and Model Risk Management, you will deliver measurable fraud-loss reduction while preserving an excellent customer experience. You will also communicate platform strategy, experiment outcomes, and capability roadmaps to senior leaders to inform decisions and continuously improve fraud prevention.

 
Job responsibilities
  • Oversees the product roadmap, vision, development, execution, risk management, and business growth targets
  • Leads the entire product life cycle through planning, execution, and future development by continuously adapting, developing new products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth
  • Coaches and mentors the product team on best practices, such as solution generation, market research, storyboarding, mind-mapping, prototyping methods, product adoption strategies, and product delivery, enabling them to effectively deliver on objectives
  • Owns product performance and is accountable for investing in enhancements to achieve business objectives
  • Monitors market trends, conducts competitive analysis, and identifies opportunities for product differentiation

     

  • Own the multi-year platform strategy and roadmap for fraud models, dynamic feature infrastructure (incl. streaming + feature store), graph intelligence, and MLOps across CCB payment and banking products.
  • Lead experimentation and delivery with clear success criteria/lift metrics, converting validated POCs into production capabilities that reduce fraud loss and improve customer experience.
  • Productize graph intelligence for fraud rings (entity schema, graph features/embeddings, freshness/latency SLAs, and explainability requirements).
  • Establish end-to-end model lifecycle standards (model CI/CD, evaluation gates, monitoring, drift detection, automated retraining, and rollback) to ensure safe, reliable deployment.
  • Embed governance by design including explainability, bias/fairness checks, and Model Risk documentation to meet regulatory expectations.
  • Build strong partnerships and team capability by developing a high-performing product org, collaborating cross-functionally (Product, Engineering, Data Science, Fraud Ops, MRM), staying ahead of industry trends, and translating technical topics for executives.
Required qualifications, capabilities, and skills
  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
  • Extensive knowledge of the product development life cycle, technical design, and data analytics
  • Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Experience driving change within organizations and managing stakeholders across multiple functions
  • Bachelor's degree 
  • 5+ years building or owning ML-enabled products such as feature platforms, model platforms, or fraud decisioning systems in production environments.
  • Deep expertise in fraud, payments risk, trust and safety, cybersecurity, or similarly adversarial domains where models face adaptive threats.
  • Strong technical fluency across applied machine learning, data systems, and production constraints including latency, reliability, monitoring, and scale.
  • Proven track record of leading cross-functional execution with Product, Engineering, Data Science, Operations, and Model Risk Management teams.
  • Exceptional communication and executive presence; comfortable translating technical capabilities into business value for senior leadership.
  • Strong analytical skills and ability to define success metrics, evaluate experimentation results, and make data-driven platform decisions.
Preferred qualifications, capabilities, and skills
  • Recognized thought leader within a related field
  • Advanced degree in Computer Science, Machine Learning, Statistics, or related quantitative field 
  • Hands-on experience building and scaling transformer-based or other large-scale sequence models in production, using high-volume event data (e.g., fraud, security, behavioral analytics, risk).
  • Experience productizing graph features/embeddings or graph ML for fraud ring detection, network analysis, or risk assessment.
  • Proven RL system design in live environments (optimization/control/fraud decisioning), including reward design, online/offline evaluation, and safe deployment in adversarial settings.
  • Experience designing feature stores and maintaining online/offline parity at scale for real-time decisioning systems.
  • Strong representation learning/embeddings and long-horizon temporal modeling skills, familiarity with financial services model governance, and demonstrated thought leadership (papers, patents, talks, or open source).

 

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

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For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ

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