- 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.
- 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.
- 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).
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
About the TeamSkills Required
- 8+ years delivering products, projects, or technology applications
- Extensive knowledge of product development life cycle, technical design, and data analytics
- Proven ability to influence adoption of discovery, ideation, strategic development, requirements definition, and value management
- Experience driving change and managing stakeholders across multiple functions
- Bachelor's degree
- 5+ years building or owning ML-enabled products (feature platforms, model platforms, or fraud decisioning systems) in production
- Deep expertise in fraud, payments risk, trust and safety, cybersecurity, or similarly adversarial domains
- Technical fluency across applied machine learning, data systems, and production constraints (latency, reliability, monitoring, scale)
- Proven track record leading cross-functional execution with Product, Engineering, Data Science, Operations, and Model Risk Management
- Exceptional communication and executive presence; translate technical capabilities into business value for senior leadership
- Strong analytical skills; define success metrics, evaluate experimentation results, and make data-driven platform decisions
- 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 large-scale sequence models in production using high-volume event data
- Experience productizing graph features/embeddings or graph ML for fraud ring detection or network analysis
- Proven reinforcement learning system design in live environments (reward design, online/offline evaluation, safe deployment)
- 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
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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