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 |
|---|---|---|
| Applied AI ML Lead Researcher - Commercial and Investment Bank Lead Researcher role focused on architecting and developing GenAI and agentic solutions for complex operational processes within a financial institution. The role involves delivering collaborating agents, orchestrating workflows, building reusable services, and mentoring a team, with a strong emphasis on production deployment and scalability. | AgentServe | 9 |
| Asset Management - AI Quant Analyst - Artificial Intelligence & Machine Learning Focus JPMorgan Chase is seeking an AI Quant Analyst with a focus on AI/ML for their Asset Management division in Shanghai. The role involves researching and implementing quantitative investment models using ML/DL, applying LLMs/NLP to financial data for insights, and collaborating with teams to deploy models. The position requires a Master's or PhD in a quantitative field, 3+ years of experience in quantitative research within finance, and proven expertise in ML/DL/AI, particularly LLMs/NLP for financial data. Strong coding skills in Python and experience with statistical modeling are essential. The role also requires knowledge of financial markets and regulatory compliance. |
| Post-trainAgent |
| 8 |
| AI Research Lead (Natural Language Processing) - Vice President AI Research Lead focusing on Natural Language Processing within the financial services domain, developing novel techniques and state-of-the-art ML models for commercial applications. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| AI Research Scientist - Senior Associate AI Research Scientist role at JPMorgan Chase focused on developing novel techniques, tools, and frameworks for large-scale problems in financial services. The role involves formulating problems, developing algorithms and models, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist - NLP - VP role focused on developing and deploying Generative AI solutions within JPMorgan Chase's Machine Learning Center of Excellence. The role involves research, thought partnership, cross-functional collaboration, and leading firm-wide initiatives to apply ML models across the business. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experimental design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence Machine Learning Scientist specializing in NLP and Generative AI (GenAI) to develop and deploy state-of-the-art models for complex business challenges within JPMorgan Chase. The role involves research, thought partnership with leaders, cross-functional collaboration for production deployment, and leading firm-wide initiatives with large-scale frameworks. Requires a PhD or MS with experience in GenAI, ML/DL toolkits, experiment design, and communication skills. | Post-trainAgent | 8 |
| Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence Machine Learning Scientist (VP) in the Machine Learning Center of Excellence at JPMorgan Chase, focusing on NLP and Generative AI. The role involves owning the full lifecycle of ML solutions, from research and development to production deployment, acting as a thought leader, and driving cross-functional collaboration to implement new ML methods and large-scale frameworks for business impact within the financial services industry. | Post-trainAgent | 8 |
| Asset Management - Quantitative Analyst - Artificial Intelligence & Machine Learning Focus Quantitative Analyst with a focus on AI/ML/LLMs for investment research, alpha generation, portfolio optimization, and risk management in financial markets. Responsibilities include researching and implementing quantitative models, applying NLP to textual data, identifying alpha signals, and collaborating with teams to implement models in production. Requires a quantitative Master's/PhD, 3+ years of experience, expertise in ML/DL/AI/LLMs/NLP, strong coding skills (Python), and knowledge of financial markets. Regulatory licenses are required. | AgentData | 8 |
| AI Researcher - Senior Associate AI Researcher Senior Associate at JPMorgan Chase, focused on developing novel AI/ML techniques and models for complex, large-scale problems within the financial services domain. The role involves research projects, formulating problems, developing algorithms, conducting experiments, and contributing to business applications, open-source software, and patents. | Post-train | 8 |
| Applied AI ML Researcher Senior Associate - Commercial and Investment Bank JPMorgan Chase is seeking an Applied AI ML Researcher Senior Associate to build next-generation autonomous agents for the financial industry. This role focuses on developing GenAI and Agentic solutions to automate complex operational processes, deliver collaborative agents that orchestrate workflows, and contribute to the production deployment of AI/ML solutions. | AgentServe | 8 |
| NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Research Scientist role focused on applying sophisticated machine learning methods, particularly NLP and LLMs, to real-world problems within a financial services context. The role involves developing state-of-the-art models, publishing research, and collaborating to deploy solutions into production. It emphasizes both research exploration and practical application, with a focus on post-training and potentially agentic systems. | Post-trainAgent | 8 |
| Applied AI ML Senior Associate - Machine Learning Center of Excellence - Time Series Reinforcement Learning This role focuses on applying advanced ML methods like time series analysis, reinforcement learning, causal inference, and NLP to solve real-world problems in finance. The associate will research new methods, develop state-of-the-art models, collaborate with various teams to deploy solutions, and drive firm-wide initiatives. A PhD in a quantitative discipline and hands-on experience with ML toolkits are required, with a preference for candidates with financial industry knowledge and published research. | Post-trainAgent | 8 |
| Quantitative Trading & Research - Systematic Trading - Associate Quantitative trading role focused on end-to-end alpha research and strategy deployment in equity derivatives and volatility markets, leveraging advanced data analytics, statistical modeling, and machine learning. The role involves feature engineering, building calibration/attribution/monitoring frameworks, and partnering with trading for strategy implementation, execution, hedging, and risk management. It also includes building reusable research libraries and tooling, with a plus for leveraging AI/ML and AI tooling for research acceleration and developer productivity, including AI productionization and AI agents. | AgentServe | 7 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President / Executive Director Quantitative research role focused on developing and implementing mid-frequency trading strategies using advanced statistical modeling and machine learning techniques. The role involves the full lifecycle from ideation and research to production deployment and performance monitoring, with a strong emphasis on extracting predictive signals from complex financial datasets. | Agent | 7 |
| Quantitative Research [Multiple Positions Available] Quantitative Research role at JPMorgan Chase focused on transforming equities trading into a data-led business. The role involves building analytics and data-driven processes to optimize trading, developing pricing models using statistics and machine learning, and implementing systematic hedging solutions. It requires experience in risk analytics, automated trading solutions, and utilizing ML/statistical packages. | Serve | 7 |
| Asset Management- Quantitative Equities Research Analyst - Vice President Quantitative Equity Researcher (VP) at JPMorgan Chase focused on developing novel alpha signals and enhancing return-forecasting models using advanced statistical, econometric, and machine learning techniques, including LLMs and generative AI. The role involves applying these techniques to large datasets, designing research pipelines, building research frameworks, and collaborating with portfolio managers and technology teams to integrate research into production systems. Requires strong Python and SQL skills, and experience with NLP and alternative data for repeatable research. | DataAgent | 7 |
| Asset Management, Equity Quant Researcher, Associate PhD-level Quant Researcher with 0-3 years of experience in machine learning, specializing in reinforcement learning, to develop alpha signals and portfolio construction methodologies for global equity markets. Responsibilities include data analysis, model enhancement, and integrating research into production systems. | DataPost-train | 7 |
| Quantitative Trading & Research - Mid-Frequency Trading Strategies - Vice President Quantitative trading firm seeks a VP to research, develop, and deploy mid-frequency systematic trading strategies. Role involves applying statistical modeling and machine learning to financial markets, with a focus on alpha generation, portfolio construction, risk management, and execution. Requires end-to-end ownership from ideation to live trading and performance monitoring. | Post-trainServe | 7 |
| Quantitative Trading & Research - Credit - Vice President Seeking a VP to join Credit Quantitative Trading team, leveraging AI/ML to enhance trading strategies and decision-making. The role involves exploring and integrating AI/ML methodologies, developing and deploying models end-to-end in production, and ensuring robustness and scalability. Requires experience in quantitative research, fixed income markets, and AI/ML timeseries models. | ServePost-train | 7 |
| Quantitative Trading & Research - Alpha Quant - Vice President Quantitative researcher for an Equity Derivatives team, focusing on end-to-end alpha research and strategy deployment. Responsibilities include feature engineering, building calibration/attribution/monitoring frameworks, and implementing systematic strategies using data analytics, statistical modeling, and machine learning. The role also involves leveraging AI/ML tooling to accelerate research and improve productivity. | Data | 7 |
| Asset Management- Equity Quantitative Researcher - Vice President Quantitative Equity Researcher (VP) at JPMorgan Asset Management, focusing on developing novel alpha signals and enhancing return forecasting models using advanced statistical, econometric, and machine learning techniques on large datasets. The role involves research in portfolio construction and risk management, translating insights into investment strategies, and collaborating with technology teams for model integration. | Data | 7 |
| Wealth Management , Chief Investment Officer Portfolio Analytics Team, Vice President This role focuses on quantitative research within Wealth Management, developing and maintaining models for asset allocation, portfolio construction, risk management, and performance attribution. It involves applying statistical and machine learning techniques to large datasets and collaborating with portfolio managers and other stakeholders. The role requires strong Python programming skills and a background in quantitative fields. | Post-train | 7 |
| 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 |
| Experience Research Senior Associate This role focuses on designing and running large-scale quantitative research to generate actionable customer insights that shape data-driven user experiences across digital products and services, with a focus on AI-driven/agentic customer experience transformation. The role requires proficiency in quantitative research methods, statistical analysis, and experience with statistical software. While the role touches on AI, its core function is in quantitative research and insight generation for customer experience, not direct AI/ML model development. | — | 5 |
| Wealth Management, Quantitative Portfolio Manager, Equities CIO Senior quantitative portfolio manager for an equity team, responsible for setting the quantitative research agenda, owning core portfolio analytics and risk frameworks, and driving implementation of systematic, factor-based, and data-driven insights for an $80bn equity portfolio. The role involves translating complex quantitative work into investment decisions, leading the integration of quantitative signals with fundamental views, owning risk model applications, designing portfolio construction frameworks, driving development of research and analytics tooling (Python-first), and evaluating/applying machine learning/AI techniques for feature engineering, ensemble methods, and NLP for alternative data, with an emphasis on interpretability and investment relevance. | Data | 5 |
| Wealth Management , Chief Investment Officer Portfolio Analytics Team, Vice President The role involves quantitative research for portfolio analytics within Wealth Management. Responsibilities include developing and running risk and performance attribution models for multi-asset portfolios, building and maintaining models using Python and MATLAB, and applying statistical and machine learning techniques to investment research. The role also involves data management, model documentation, testing, and validation, as well as collaboration with portfolio managers and technology teams. | Data | 5 |
| Quantitative Research - Equity Derivatives Flow - Associate Quantitative researcher for an equity derivatives flow desk, focusing on advanced analytics, optimization, and modeling for volatility trading. Responsibilities include developing pricing and risk models, client analytics, and hedging optimization tools, leveraging machine learning and data-driven techniques. | — | 5 |
| Quantitative Trading & Research – Equity eTrading – Associate or Vice President Quantitative researcher for equity eTrading at JPMorgan Chase, focusing on developing and improving algorithmic execution strategies using advanced quantitative models and statistical analysis. The role involves analyzing large datasets, back-testing methodologies, and collaborating with various teams to deliver innovative trading solutions. | Ship | 5 |
| Asset & Wealth Management - Equities Quantitative Investment Analyst - Associate/ Vice President JPMorgan Chase is seeking a Quantitative Investment Analyst to join their Equity Portfolio Management team. The role involves combining fundamental equity analysis with quantitative and factor-based approaches, supporting risk modeling, portfolio construction, and quantitative research using Python/R. The candidate will also contribute to the application of AI/ML techniques to enhance investment research and portfolio management. | Data | 5 |
| Asset Management - Investment Platform Trading Research - Executive Director The role involves quantitative trading research, optimizing a systematic trading platform using statistical models and machine learning, and providing execution consultancy. Responsibilities include designing research projects, analyzing market data for signals, enhancing trading performance, developing optimal execution strategies, and creating trade analytics frameworks with dashboards and tools for TCA, market impact, and slippage. The candidate will lead cross-functional projects and collaborate with traders, portfolio managers, and technology teams. Requires advanced Python, financial database expertise, trading knowledge (market-making, statistical arbitrage, systematic trading), technical communication skills, market microstructure knowledge, Git experience, and applied ML experience (RL, NLP, deep learning). | Serve | 5 |
| Commercial & Investment Bank - Research Analyst (12 months Fixed Term Contract) Research Analyst role at JPMorgan Chase focused on equity research, requiring financial modeling, valuation, and industry analysis. The role involves applying data analytics, automation, and AI/LLM tools to enhance analysis and workflows, alongside traditional research tasks. Requires a minimum of 1 year of experience in a relevant analytical role and a degree in a quantitative or financial field, with a core capability in statistics, programming, and AI/LLM use. | — | 3 |
| Quantitative Trading & Research - Credit - Vice President Quantitative researcher for a credit trading team, focusing on designing and implementing signals for corporate bonds and indices, analyzing P&L drivers, market trends, and large datasets. The role involves using statistical modeling and potentially AI/ML techniques to inform algorithmic trading strategies and optimize competitiveness in systematic credit trading. | — | 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 |
| Experience Research Senior Associate This role focuses on user experience research within the financial services industry, specifically understanding the Affluent customer segment. The researcher will use various quantitative and qualitative methods to gather insights, inform product and service design, and collaborate with cross-functional teams. While AI/LLM technologies are mentioned as tools to advance research efforts, the core function is not AI/ML model development or deployment. | — | 1 |
| Experience Research Associate This role focuses on user research within a financial enterprise, with a secondary emphasis on exploring and evaluating AI tools for research operations. The primary function is to support and conduct user research, analyze data, and inform user experience design decisions. While AI tools are mentioned, the core of the role is traditional UX research, not AI model development or deployment. | — | 1 |
| Wholesale Credit Quantitative Research - Associate Quantitative Research Associate role focused on designing, analyzing, and delivering quantitative models for Wholesale Credit Stress (CCAR, ICAAP, Risk Appetite) and loan loss reserves. Responsibilities include building forecasting models using statistical techniques, conducting back-testing, and model monitoring. Requires a degree in a quantitative field, strong background in calculus, linear algebra, probability, and statistics, and proficiency in Python or C++. | — | 0 |
| WCR - Quantitative Research Associate Quantitative Research Associate in Wholesale Credit Risk group, focusing on Counterparty Credit Risk (CCR) models and risk limit metrics like SSE and PFE. Responsibilities include enhancing the SSE framework, developing statistical models for CCR, designing software frameworks in Python, and partnering with control and tech teams for model deployment. Key tasks involve developing the RNIS framework, building CCR models for CCPs, and monitoring margin changes and backtesting. | — | 0 |
| Experience Research Senior Associate Experience Research Senior Associate at JPMorgan Chase focused on shaping user experiences for SMB Client & Frontline Experience (CFX) and Lending. This role involves conducting and analyzing user research studies using quantitative and qualitative methods to identify customer needs and translate them into actionable insights that inform product design and functionality. The role requires collaboration with cross-functional teams and staying current with industry trends. | — | 0 |
| Risk Management - Quantitative Research Senior Associate Quantitative Research Senior Associate role focused on counterparty credit risk modeling within JPMorgan Chase's fintech domain. The role involves designing, implementing, and maintaining models for risk metrics, collaborating with global teams, and ensuring model integrity and compliance. Requires Python proficiency and a strong quantitative background. | — | 0 |
| Sr Lead Security Engineer - Advanced Cryptography Seeking an Advanced Cryptography Specialist with PhD/MS and 5+ years of experience in multiparty computation (MPC), post-quantum cryptography (PQC), and zero-knowledge proofs (ZKPs) for the financial sector. The role involves researching, architecting, and implementing cryptographic solutions for privacy and confidentiality, collaborating with product, engineering, and compliance teams, and assessing cryptographic protocols and libraries within JPMorgan Chase's Emerging Technologies Security group. | — | 0 |
| Global Research -Credit Strategy - Analyst This role is for an Analyst in Credit Strategy at JPMorgan Chase's Global Research Center in Mumbai. The position involves using quantitative and econometric techniques, managing large datasets, analyzing macroeconomic data, and contributing to publications and presentations to support decision-making. The role requires strong analytical, financial modeling, and coding skills (Python), with experience in advanced econometric/statistical techniques, machine learning, or NLP being a plus. The primary focus is on credit strategy research within the fintech domain. | — | 0 |
| Quantitative Trading & Research - Credit - Vice President Quantitative trading research role focused on credit markets, involving strategy research, backtesting, and production implementation within a financial institution. | — | 0 |
| Sustainable Investing Research Associate Research Associate role focused on sustainable investing, involving data analysis, building analytical workflows with Python and SQL, data quality controls, and delivering insights from large datasets. The role emphasizes data integrity, scalability, and clear communication of findings. | — | 0 |
| Cross-Asset Risk Premia Research – Quantitative Strategist – Vice President Quantitative Strategist role focused on cross-asset risk premia research, contributing to publications, and collaborating with internal and external stakeholders. Requires a quantitative degree, strong analytical and coding skills (Python), and knowledge of machine learning and big data. | — | 0 |
| Market Risk Quantitative Research [Multiple Positions Available] Develop and enhance mathematical market risk models for Value at Risk (VaR) metrics, execute performance testing, apply advanced quantitative methods, and ensure compliance with regulatory and internal governance requirements. This role involves working with derivatives, fixed income, liquidity, FX options, and structured products in Emerging Markets. | — | 0 |
| Quantitative Trading & Research - Algorithmic Execution - Associate Seeking an Associate for the Quantitative Trading & Research Algorithmic Execution group to research, implement, and support state-of-the-art algorithmic execution strategies for institutional clients in the macro space. This role involves partnering with sales, analyzing trading data, formulating and back-testing strategies, and ensuring strong controls. | — | 0 |
| Experience Research Senior Associate This role focuses on user experience research within the finance organization, using quantitative and qualitative methods to gather customer insights, inform product design, and improve customer satisfaction. The role requires experience in generative and evaluative user experience research and an understanding of user experience design principles. | — | 0 |
| Investment & Research team, Derivatives Associate JPMorgan Chase is seeking an Associate for their Private Bank Solutions Investment Quantitative Research team, focusing on Derivatives Risk Modeling and Analytics. The role involves developing and implementing quantitative models for derivatives pricing, risk, and P&L analytics across various asset classes. Responsibilities include building sensitivity frameworks, P&L attribution, factor modeling, stress testing, and structured products analytics. The role also involves empirical research, model validation, and partnering with technology teams for productionizing engines and curating market data. Requires 5+ years of experience in quantitative research or model development focused on derivatives, strong knowledge of derivatives pricing theory and risk concepts, and proficiency in Python. | — | 0 |
| WCR - Quantitative Research Analyst Quantitative Research Analyst role focused on designing, managing, and enhancing quantitative models and risk limit metrics for counterparty credit risk within a financial institution. Responsibilities include developing statistical models, building software frameworks in Python, and partnering with risk and technology teams for model deployment and governance. | — | 0 |