Fraud AI/ML Platform Product Director

J.P. Morgan; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Job summary

J.P. Morgan is searching for a Product Director in New York to lead strategic initiatives in fraud prevention through advanced machine learning and AI. This pivotal role involves defining product vision and lifecycle management for a next-generation fraud intelligence platform, aiming to protect millions of customers.

Applicants should have extensive product development experience, a strong understanding of machine learning applications, and excellent cross-functional collaboration skills. Competitive rewards and benefits, including health coverage and retirement savings, are offered.

Qualifications

• 8+ years of experience in product management or technology.
• Proven track record in driving key product life cycle activities.
• Experience building or owning ML-enabled products.

Responsibilities

• Oversees the product roadmap and vision.
• Leads the entire product life cycle through planning and execution.
• Monitors market trends and conducts competitive analysis.

Skills

Product development life cycle

Data analytics

Machine learning

Cross-functional leadership

Technical fluency

Strategic development

Education

Bachelor's degree

Tools

Machine learning platforms

Graph intelligence

Job description

Ignite your passion for product innovation by leading customer‑centric development, inspiring solutions, and shaping the future with your strategic vision and influence.

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).

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 FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Define the product roadmap, inspire a high‑performing team, and monitor market trends to shape product innovations