[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase · New York, NY # Applied AI/ML Lead - Vice President - Payments New York, NY, United States Executive Executive & Management Listed on JPMorganChase’s official careers site. Posted May 12, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210747365) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Applied AI/ML Lead - Vice President - Payments ## Job description As part of the Commercial & Investment Bank, JPMorgan Chase Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money, and assets. We tackle complex challenges across the payments lifecycle with solutions that facilitate seamless transactions across borders, industries, and platforms. Operating in over 160 countries and handling more than 120 currencies, we are a leading processor of USD payments with daily transaction volumes in the trillions. As a Vice President, Applied AI/ML Lead (Sr Level IC role) within JPMorgan Chase Payments, you will own and drive the end-to-end delivery of high-impact AI/ML capabilities across the payments ecosystem—while remaining deeply hands-on. You will apply modern neural networks (including Transformers) to build, fine-tune, distill, and deploy models that improve fraud/risk outcomes, operational automation, and client experience, operating under real-world constraints (latency, scale, reliability, explainability, and governance). You will set technical direction, establish standards, and lead execution through influence—partnering closely with Product, Engineering, Risk, Compliance, and Data teams. Job responsibilities Own a major AI/ML problem area end-to-end (e.g., transaction risk & fraud, anomaly detection, payment exceptions automation, routing/authorization optimization), from opportunity sizing and problem framing through production rollout and iteration. Design and build production-grade ML systems that operate at payments scale, balancing accuracy, latency, throughput, and cost across batch, near-real-time, and real-time inference patterns. Develop state-of-the-art neural approaches including Transformer architectures, representation learning, and sequence/graph methods where appropriate; apply fine-tuning (full/parameter-efficient), distillation, and model compression techniques to meet deployment constraints. ### Define rigorous evaluation and measurement offline metrics, calibration, robustness testing, segmentation, and online experimentation where feasible; translate model lift into business impact (loss reduction, approval rates, false-positive reduction, ops productivity, client outcomes). ### Establish model lifecycle standards reproducibility, testing, monitoring/alerting, drift detection, champion–challenger approaches, incident response/rollback, and ongoing performance governance. Partner with Risk/Compliance and model governance stakeholders to ensure appropriate documentation, controls, explainability/interpretability as required, and audit-ready processes. ### Lead through influence drive technical decisions via design reviews, code/model reviews, and mentoring; raise the bar across applied scientists and ML engineers through best practices and pragmatic standards. Communicate clearly to senior stakeholders, including tradeoffs, limitations, and recommended actions; make complex model behavior and risk/benefit understandable and decision-ready. ### Required qualifications, capabilities, and skills - Master’s or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Operations - Research, or related field, plus - 6+ years of industry experience delivering applied ML (or PhD with equivalent applied experience). Demonstrated track record of shipping ML models into production with measurable business impact, including iteration post-launch (monitoring, retraining, recalibration, and continuous improvement). Strong hands-on expertise in neural networks and Transformers, including practical experience with: Fine-tuning strategies (e.g., full fine-tuning and parameter-efficient methods) Distillation / compression (teacher–student, quantization-aware approaches, latency/cost-driven optimization) Robust evaluation and failure-mode analysis for real-world deployment Strong software engineering skills in Python, with deep experience in PyTorch or TensorFlow and standard ML/data libraries. Experience building data-driven systems using SQL and distributed processing (e.g., Spark/PySpark or equivalent). Cloud and production experience on AWS (or equivalent cloud), including deploying services/pipelines and operating them reliably at scale. Ability to take ambiguous business problems and turn them into structured ML plans: data strategy, modeling approach, evaluation, rollout, and operationalization. Excellent communication skills, including explaining tradeoffs (accuracy vs latency, risk vs customer friction, complexity vs maintainability) to both technical and non-technical audiences. Preferred qualifications, capabilities, and skills Payments domain experience: fraud/risk, transaction monitoring, identity/account takeover, disputes/chargebacks, sanctions/AML-adjacent signal work, payment exceptions and investigations, routing/authorization optimization, or treasury/transaction banking. Experience with streaming/real-time architectures and feature generation (e.g., event-driven systems, point-in-time correctness, leakage prevention). ### Strong ML platform/MLOps exposure feature stores, model registries, CI/CD for ML, scalable training/inference, observability, and governance workflows. Experience with Docker/Kubernetes and modern data platforms (e.g., Databricks, Snowflake) where relevant. ## At a glance - Posted by the employer: May 12, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 13, 2026 - Listed for: 154 days - Location: New York, NY, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210747365) ## More jobs at JPMorganChase ### [2027 Asset & Wealth Management International Private Bank (Latin America) MBA Summer Associate Program](https://jobs.opennash.com/companies/jpmorganchase/jobs/2afbcba978645c269b12/) New York, NY, United States ### [2027 Global Private Bank Advisor Program (Full-time Associate) - US Private Bank](https://jobs.opennash.com/companies/jpmorganchase/jobs/b8b9663800bdacab73ea/) New York, NY, United States ### [AI Transformation & Strategic Execution - Executive Director](https://jobs.opennash.com/companies/jpmorganchase/jobs/f9b3edfbaef1fff1ba09/) New York, NY, United States ### [AI/ML Governance & Automation Lead -Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/3338481997d483810fb2/) New York, NY, United States ### [Amenity Services Program Manager - Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/ac1456ab37006d4936b6/) New York, NY, United States ## Similar jobs at other companies ### [Payments Risk & Resilience Lead Business Analyst - Assistant Vice President](https://jobs.opennash.com/companies/state-street/jobs/904375ba64ffcb00769a/) State Street · Quincy, Massachusetts ### [Vice President, Applied AI Engineer - Credit Technology](https://jobs.opennash.com/companies/ares-management/jobs/9c9a90f1d246308fe786/) Ares Management · New York, NY ### [CitiDirect Senior Java Dev for Payments Modernization – Vice President](https://jobs.opennash.com/companies/citigroup/jobs/25a7f7a9cf5f11c8b8ba/) Citigroup · Jersey City New Jersey United States ### [Vice President, Product & Supplier Quality (Medical)](https://jobs.opennash.com/companies/cardinal-health/jobs/bfec466bc91d0beb33a1/) Cardinal Health · International ### [Divisional Vice President (Northeast)](https://jobs.opennash.com/companies/aegon/jobs/9c1b3cf236fbb3c507ef/) Aegon · Work From Home, USA OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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