JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
Currently tracking 305 active AI roles, with 1181 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 445 active AI-related roles in our index. The most common open titles are: Data Scientist [Multiple Positions Available] (7), Lead Software Engineer (6), Applied AI ML-Vice President (4), Applied AI/ML Lead (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (57%), application (17%), serving infrastructure (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (299 roles), United Kingdom (64 roles), India (56 roles), Singapore (16 roles).
Job postings at JPMorgan Chase most frequently mention: Machine Learning, Agentic Systems, Statistics, Data Science, Large Language Models (LLMs).
In the past 30 days, JPMorgan Chase has posted 178 new AI-related roles. That is a -35% change versus the prior 30 days (274 → 178).
| Title | Stage | AI score |
|---|---|---|
| Card Fraud Strategy – Associate Associate role in Card Fraud Strategy at JPMorgan Chase, focusing on designing and validating fraud strategies and capabilities. Requires data analysis, leveraging analytics, and partnering with Product, Technology, and Operations to mitigate risk while balancing business impacts. Strong analytical and AI/ML skills are needed to drive innovative solutions. | Ship | 5 |
| Card Fraud Strategy – Senior Associate This role focuses on designing and validating fraud strategies and capabilities within the fintech domain, leveraging data analysis and advanced analytics, including AI/ML, to mitigate risk and optimize performance. The primary deliverable is an AI-powered fraud detection product. | Ship |
| 5 |
| Quant Analytics Senior Associate Quant Analytics Senior Associate at JPMorgan Chase focusing on pricing initiatives within the Consumer & Community Banking Data & Analytics team. The role involves quantitative problem-solving, analytical research, and leading a team, while pragmatically using GenAI/LLMs as complementary tools to classical/statistical/graph analytical methods for core pricing strategy. | Ship | 5 |
| Analytics Solutions Senior Associate - AI at Scale This role supports strategic planning and execution for cross-product AI initiatives within a Product Strategy & Execution team at JPMorgan Chase. The focus is on shaping initiative charters, coordinating roadmaps, driving stakeholder alignment, and reporting on progress and outcomes at an enterprise scale. The role operates at the intersection of product, data/AI, technology, and business teams to ensure initiatives are well-defined, on track, and positioned for adoption and impact. | — | 5 |
| ICB Risk Reporting & Data Associate This role supports fraud risk management and operational controls for Chase UK and Germany by developing and maintaining fraud risk metrics, dashboards, and analytics. It emphasizes the use of GenAI-enabled analytics and reporting tools within established controls, focusing on data pipelines, transformation, and visualization. The role involves collaborating with stakeholders, performing deep-dives, implementing data quality controls, and applying GenAI/LLM-assisted workflows for tasks like requirements translation, insight generation, and narrative drafting. | Ship | 5 |
| Strategic Analytics - Vice President Vice President role in JPMorgan Chase's Portfolio Growth Programs team, focusing on leveraging AI, advanced analytics, and automation for portfolio management strategies in financial services. The role involves developing AI-enabled solutions, improving reporting efficiency, and partnering with business, risk, and technology teams to deliver scalable insight solutions. | Agent | 5 |
| CCB Risk Strategic Analytics – GenAI This role is within JPMorgan Chase's CCB Risk Strategic Analytics team, focusing on the integration of GenAI and LLMs into risk management strategies. The primary responsibilities involve creating, designing, and executing projects related to GenAI/LLM integration, performing credit-focused analytics, and leveraging data analysis, modeling, and data engineering skills. The role requires independent decision-making, collaboration with cross-functional partners, and strong communication skills. While experience with GenAI/AI/ML projects is a plus, a strong quantitative background and risk management experience are required. | Agent | 5 |
| Vice President - Product Owner – Real Estate Yardi Platform Product Owner - Vice President for JPMorgan Chase's Real Estate Yardi Platform, focusing on defining product vision, roadmaps, and leading end-to-end delivery of Yardi capabilities and integrations. The role involves configuring Yardi modules, designing integrations, building reports, and applying AI/data-driven analytics to improve workflows and data quality. Requires strong Yardi experience, product management skills, and AI proficiency with a focus on responsible AI use. | — | 5 |
| Associate - Transformation and Data Analysis This role focuses on data analysis, process transformation, and reporting for a legal litigation team. The individual will leverage modern analytics and automation tools like Databricks, SQL, and Alteryx, and will also use AI-enabled tools and technologies to enhance workflows, build dashboards, and develop queries. The role involves analyzing financial and operational data, managing database querying, and collaborating with data quality and technology teams. | — | 5 |
| Analytics Solutions Manager This role is for an Analytics Solutions Manager at JPMorgan Chase, focusing on Product Strategy & Execution for Data & Analytics. The role involves translating enterprise objectives into a portfolio strategy for AI initiatives, shaping initiative charters, driving disciplined delivery, and ensuring adoption of AI capabilities at scale. It requires strong program/portfolio management skills, stakeholder influence, and knowledge of AI/ML concepts and scaling considerations within a financial services context. | — | 5 |
| Quantitative Trading & Research - eTrading - Associate/Vice President Quantitative researcher at JPMorgan Chase focusing on developing mathematical models for algorithmic execution strategies, limit order placement, order routing, and analyzing order flow. The role involves market microstructure research and applying statistical and machine learning models to high-frequency data for pre/post-trade analytics and price prediction. | Data | 5 |
| Securities Services - Onboarding Product Development - Vice President Product Delivery Manager for Securities Services Onboarding at JPMorgan Chase, Mumbai. This role focuses on defining and delivering the strategic roadmap for end-to-end onboarding, with a strong emphasis on establishing an AI & Data Strategy. The responsibilities include leading the design and execution of data governance, applying AI/ML for insights and risk management, and managing the product delivery lifecycle. Requires strong financial services experience, data architecture knowledge, and project management skills. Experience with AI/ML solutions is preferred. | Data | 5 |
| Fraud Strategy- Senior Associate This role focuses on designing and validating fraud strategies and capabilities within a financial institution, leveraging data analysis and AI/ML to mitigate risk, optimize financial performance, and improve customer experience. The role involves partnering with product, technology, and operations teams to develop and implement solutions, monitor trends, and ensure compliance. | Ship | 5 |
| Software Engineer I Software Engineer I role focused on developing tools for Model Risk Governance & Review (MRGR) at JPMorgan Chase. The role involves building applications primarily in Python, integrating LLMs to enhance automation, reporting, and decision-making, and supporting model reviewers and governance teams. Experience with full-stack development, Python, and integrating ML models is required. | Agent | 5 |
| Software Engineer I Software Engineer I at JPMorgan Chase within the Model Risk Governance & Review (MRGR) team, focused on developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort. The role involves building dashboards, translating business requirements into applications (primarily Python/Athena), integrating LLMs into existing systems for automation and decision-making, and collaborating with cross-functional teams. Experience with full-stack development, Python, and integrating ML models (including LLMs) is required. | Agent | 5 |
| CCOR Automation & Data Analytics - Associate The role focuses on automation and data analytics within the Compliance, Conduct, and Operational Risk (CCOR) organization at JPMorgan Chase. It involves project management of automation initiatives, identifying opportunities for process improvements and AI integration, and enhancing controls, surveillance, and reporting. While the role seeks to adopt AI and GenAI tools, its core function is not the development or research of AI models but rather the application of automation and existing AI tools to improve compliance workflows. | — | 5 |
| Model Risk Program Analyst This role focuses on model validation and governance within JPMorgan Chase's Risk Management and Compliance organization. The analyst will evaluate the conceptual soundness, assumptions, inputs, testing, numerical robustness, and performance metrics of various models used in financial forecasting and business decisions. The role requires strong quantitative skills, experience with statistical/econometric models, proficiency in Python/R, and a deep understanding of financial products and regulatory stress testing. | — | 5 |
| Commodities Systematic Trading - Associate (Mumbai) This role supports a Commodities Systematic Trading team, focusing on alpha generation, e-trading, and data science/machine learning within financial markets. Responsibilities include building and maintaining tools, UIs, and frameworks for systematic risk-taking, developing systematic strategies and performance monitoring systems, enhancing tool robustness, processing and analyzing large datasets for alpha research, and collaborating with traders. Requires strong Python and data analysis skills, database knowledge (KDB), and excellent communication. Preferred qualifications include experience in systematic/quant research and data cleaning/processing. | Data | 5 |
| Applied Artificial Intelligence & Machine Learning - Project Management Associate The role is a Project Management Associate within JPMorgan Chase's Corporate & Investment Bank, specifically focused on the Applied AI-ML for Payments group. The primary responsibility is to manage the portfolio of AI/ML projects, ensuring alignment with strategic goals, defining governance, managing the execution lifecycle, and tracking progress. While the group develops and deploys AI/ML solutions, this role is focused on project management and operational aspects rather than direct AI/ML model development or research. | — | 5 |
| VP - Wholesale Portfolio Analytics - Grading This role focuses on developing and maintaining credit risk grading models and frameworks for Wholesale Credit Risk clients. It involves quantitative work, methodology design, data pipeline development using Python, and applying LLMs to synthesize unstructured data for model development. The role also requires translating analytical findings for senior leadership and regulators, and partnering with technology and control teams. | DataAgent | 5 |
| Centralized Research Group - Security & Resiliency Initiative - Vice President This role is for a Vice President in JPMorgan Chase's Centralized Research Group (CRG) supporting the Security & Resiliency Initiative (SRI). The role involves deep research, financial valuations, and preparing pitch books and marketing materials for clients. It integrates advanced AI/LLM methods to craft investment theses and assess opportunities, and applies AI/LLM tools to accelerate research and enhance deliverables. The focus is on identifying risks in strategic supply chains and deploying financing solutions to enhance economic security and operational resilience. | — | 5 |
| Strategic Analytics - Senior Associate This role focuses on developing and implementing data-driven strategies and business rules to reduce digital fraud losses in fintech. It involves analyzing large datasets, monitoring fraud trends, and collaborating with cross-functional teams to build fraud-fighting products. While it leverages machine learning, the primary output is a product/strategy to combat fraud, not the ML models themselves. | Ship | 5 |
| Centralized Research Group - Security & Resiliency Initiative Associate This role supports the Security & Resiliency Initiative (SRI) within JPMorgan Chase's Centralized Research Group (CRG). The Associate will prepare pitch books, conduct deep research, perform financial valuations, and develop investment theses. A key aspect involves applying AI/LLM tools to enhance research and analysis for resilience-focused solutions in critical industries. The role requires strong analytical, communication, and financial skills, with experience in investment banking or consulting. | — | 5 |
| Strategy & Business Intelligence - Associate/Senior Associate This role focuses on leveraging AI and LLM tools to drive revenue growth in global banking by analyzing internal and external data, identifying opportunities, and developing strategic insights. The role involves building analytical workflows and dashboards to support banker decision-making. | — | 5 |
| Wholesale Credit Portfolio Analytics - Analyst This role supports the development and enhancement of credit risk grading models and frameworks for Wholesale Credit Risk. It involves quantitative work, model methodology, data preparation, building Python pipelines for analytics, and applying LLMs to synthesize unstructured data. The goal is to enhance credit risk assessments and identify concentration risks. | Data | 5 |
| Wholesale Credit Grading -VP JPMorgan Chase is seeking a VP for their Wholesale Credit Grading team within Risk Management and Compliance. The role involves building and owning wholesale credit rating models end-to-end, applying statistical and targeted AI/ML for forecasting and risk monitoring, and ensuring robust data pipelines and controls. The position requires a quantitative degree, strong applied statistics/econometrics, experience in ML and generative AI, large-scale panel dataset experience, Python proficiency, and foundational credit risk modeling knowledge with regulatory documentation experience. The role is focused on delivering AI-powered credit risk solutions to internal stakeholders and regulators. | Ship | 5 |
| Fraud Strategy Analytics - Vice President - Bengaluru/Mumbai This Vice President role in Fraud Strategy at JPMorgan Chase focuses on designing, validating, and enhancing fraud strategies and capabilities. It involves leveraging data analysis, AI/ML, and advanced analytics to improve fraud detection and treatment, while balancing risk mitigation, financial performance, customer experience, and operational efficiency. The role requires collaboration with product, technology, and operations teams, and staying updated on industry trends. | Ship | 5 |
| Transaction Monitoring - Vice President This role is for a Vice President at JPMorgan Chase to manage transaction monitoring operations. The role involves leading teams, optimizing processes, ensuring compliance, and leveraging AI and automation for efficiency and accuracy in document transaction and remittance processing. It focuses on operational excellence and strategic decision-making within the fintech domain. | — | 2 |
| Lead Software Engineer - Java Full Stack Lead Software Engineer role focused on full-stack development within a fintech environment, emphasizing the integration and responsible use of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. The role involves designing, developing, and troubleshooting software solutions, creating automated tests, and understanding business functions, with a strong requirement for Java expertise and cloud experience. | — | 2 |
| Quant Analytics Associate - Time Series Forecasting Strategist - Workforce Planning This role focuses on time-series demand forecasting for contact center operations, applying operational analytics and strategy tools to enhance the forecasting process. Responsibilities include identifying opportunities for improvement, monitoring and evaluating forecast accuracy, providing analytical leadership, and exploring automation frameworks using Python. The role requires a strong quantitative background with experience in forecasting, modeling, inferential statistics, and proficiency in tools like Python, R, or SAS. | — | 2 |
| Centralized Research Group - Security & Resiliency Initiative Senior Associate This role supports a Security & Resiliency Initiative (SRI) by preparing pitch books, conducting research, financial valuations, and applying AI/LLM tools to enhance deliverables. It focuses on identifying risks in strategic supply chains and deploying financing solutions, often in partnership with the public sector, to enhance economic security and operational resilience in critical industries. | — | 2 |
| Software Engineer III-Java Full Stack/ React Software Engineer III-Java Full Stack/ React role at JPMorgan Chase in Mumbai, focused on designing and delivering reliable, market-leading technology products within the Commercial & Investment Bank Payments Technology team. The role involves executing software solutions, creating secure production code, producing architecture and design artifacts, and analyzing data for continuous improvement. A key aspect is leveraging enterprise-authorized AI coding assist tools to enhance productivity and code quality, while understanding responsible AI use in engineering workflows. | — | 1 |
| Lead Software Engineer - Java & Cloud Lead Software Engineer role focused on driving adoption of AI-assisted engineering practices within a Java and Cloud environment at JPMorgan Chase. The role emphasizes leading teams in the use of AI tools for coding, review, and testing, while ensuring responsible and secure AI implementation. | — | 1 |
| CIB_Markets Sales and Research_Generic_Global_JPMC This role focuses on process improvement, automation of manual tasks, and developing reporting suites within the financial services domain. While it mentions utilizing AI/LLM tools for insight generation, the core responsibilities revolve around data analysis, reporting, and system upgrades, rather than building or deploying AI models. | — | 1 |
| Wholesale Credit Risk Administration - Associate Seeking an Associate SME for Wholesale Credit Risk Administration at JPMorgan Chase in Bengaluru. The role focuses on driving automation initiatives within CIB risk CRUs and RBAC processes, managing access controls, and ensuring compliance with regulatory and internal standards. Requires deep expertise in CIB risk CRU structures and RBAC automation, with experience in project management and AI tools like Alteryx and LLMs. | — | 1 |
| Quant Modelling Associate The Quant Modelling Associate role at JPMorgan Chase in Mumbai focuses on independent model validation and governance within the wealth management business. Responsibilities include evaluating model adherence to development standards, identifying risks, communicating findings, and providing guidance on model governance and regulatory expectations. The role requires an advanced degree in a quantitative discipline, at least 2 years of experience in model development or validation, strong analytical and programming skills (R, Python, SAS), and experience with financial modeling and risk assessment. Experience with AI/ML model development, testing, or validation is considered a plus. | — | 1 |
| Payments Client Onboarding - Associate Associate role in Payments Client Onboarding team at JPMorgan Chase, supporting the implementation of payments solutions for corporate and institutional clients. Responsibilities include managing onboarding plans, client communication, legal/compliance processes, and collaborating with internal teams. Requires 3+ years of relevant experience in finance/payments and strong analytical and organizational skills. | — | 0 |
| Control Manager - Program Control Manager role within JPMorgan Chase's International Consumer Bank (ICB) focusing on supporting enterprise risk frameworks, compliance, and operational risk. The role involves partnering with various stakeholders to ensure adherence to firmwide standards, drive consistency in control approaches, and support governance forums. Responsibilities include executing control management frameworks, participating in projects, analyzing data, and preparing reports. Requires experience in audit, internal controls, or operational risk management, understanding of risk frameworks, and analytical skills. Experience in financial services or regulated environments is preferred. | — | 0 |
| Lead Software Engineer - Full-Stack Lead Software Engineer (Full-stack) on the Infrastructure Platforms team, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to the technical direction of the team. A key aspect is leveraging enterprise-authorized AI capabilities to aid in data architecture analysis and validation within the SDLC. | — | 0 |
| Payment Lifecycle Specialist This role focuses on payment lifecycle operations, including processing global fund transfers, reconciling transactions, investigating discrepancies, and identifying potential fraud. It involves collaborating with teams, contributing to process improvements, and learning about AI to optimize payment processes. | — | 0 |
| Intelligent Automation - Product Owner - Associate Product Owner role focused on managing and enhancing automation projects, identifying opportunities, designing solutions, and delivering results using robotic process automation software and digital tools like UiPath and Alteryx. The role emphasizes collaboration with business and technology leaders, promoting an automation culture, and ensuring controlled, compliant deliveries within a financial services context. | — | 0 |
| Software Engineer II - Full-Stack Software Engineer II (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools and understanding responsible AI use in engineering workflows. | — | 0 |
| Software Engineer II - Full-Stack Software Engineer II (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools and understanding responsible AI use in engineering workflows. | — | 0 |
| Software Engineer III - Full-Stack Software Engineer III (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed, while understanding and applying responsible AI use in engineering workflows. | — | 0 |
| Software Engineer III - Full-Stack Software Engineer III (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase, responsible for architecting, building, and optimizing software systems that support core internal services and tools. The role involves designing, implementing, and evolving robust platform solutions, collaborating with cross-functional partners, and contributing to technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed, while understanding and applying responsible AI use in engineering workflows. | — | 0 |
| Senior Lead Software Engineer - Python Backend Developer Senior Lead Software Engineer - Python Backend Developer at JPMorgan Chase, focusing on building trade structuring tools and components. The role involves writing Python backend code, participating in requirements meetings, driving adoption of AI-assisted engineering practices, and supporting development teams. Requires strong Python experience, understanding of distributed and event-based architectures, and knowledge of AWS. Emphasizes responsible AI use and validation of AI outputs. | — | 0 |
| Lead Software Engineer - Python, SQL Lead Software Engineer role at JPMorgan Chase focused on building real-time Risk & PnL platforms for financial products. The role involves designing and delivering low-latency, scalable services, driving engineering standards, and mentoring engineers. A key aspect is the adoption and validation of enterprise-authorized AI-assisted engineering practices to improve code quality and delivery speed, with a strong emphasis on responsible AI use and compliance. | — | 0 |
| Lead Software Engineer - Python full stack Lead Software Engineer role focused on designing and delivering front-office solutions for real-time and end-of-day risk management and profit and loss (PnL) analysis for the Credit Trading team at JPMorgan Chase. The role involves building backend services and UI capabilities, leading technical delivery, and collaborating with stakeholders. A significant aspect includes driving the adoption and responsible use of AI-assisted engineering practices within the team. | — | 0 |
| Software Engineer III - Full Stack Software Engineer III (Full-stack) on the Infrastructure Platforms team at JPMorgan Chase. This role involves architecting, building, and optimizing software systems that support core internal services and tools. The engineer will design, implement, and evolve robust platform solutions, collaborate with cross-functional partners, and contribute to the technical direction and engineering standards. A key aspect is leveraging enterprise-authorized AI coding assist tools to improve code quality and delivery speed, while critically evaluating AI outputs. | — | 0 |
| Lead Software Engineer - Java AWS Lead Software Engineer role at JPMorgan Chase focused on designing and delivering technology products within the Trust & Security Identity team. The role involves executing software solutions, developing secure code, and driving team adoption of enterprise-authorized AI-assisted engineering practices. It also includes leading evaluation sessions for external vendors and driving communities of practice for new technologies. Requires formal training/certification in software engineering with 5+ years of experience, proficiency in Java AWS, Microservices, SpringBoot, Kafka, CassandraDB, CockroachDB, Terraform, and cloud-native experience. Emphasizes demonstrated experience with AI-assisted development tools and understanding of responsible AI use. | — | 0 |