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, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). 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 (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 236 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Global Research - Latam Corporate Credit - Vice President This role is for a Vice President in Global Research focusing on Latam Corporate Credit. The primary responsibilities include analyzing financials, forming credit views, building financial models, and producing research reports for institutional investors. The role requires a deep understanding of corporate credit fundamentals, experience with high yield credits and complex capital structures, and advanced Excel modeling skills. Familiarity with AI-enabled tools is mentioned as a requirement to enhance analytical output. | — | 0 |
| Quantum Computing Research Scientist - Senior Associate Research Scientist role focused on quantum computing within financial technology, involving foundational theory, simulation, hardware experimentation, and financial applications. Requires a Ph.D. and strong publication record in quantum computing or related fields. | — | 0 |
| Quantum Computing Research Scientist - Vice President Research Scientist role focused on quantum computing for financial technology, involving algorithm development, hardware experimentation, and business application identification. Requires a Ph.D. and a strong publication record in quantum computing or related fields. | — | 0 |
| Data Scientist, Sr Associate - Center for Economic Intelligence This role focuses on analyzing macroeconomic and financial data to understand consumer and business health, identify trends, and communicate insights. It involves data design, modeling, analysis, and visualization, with a basic understanding of statistics, econometrics, and machine learning. The primary output is insights and explanations, not AI models or products. | — | 0 |
| Quantum Computing Research Scientist – Quantum Error Correction - Senior Associate Research Scientist role focused on quantum error correction and fault-tolerant quantum computation, involving development, numerical investigation, and experimental validation of protocols for quantum computing hardware. The role requires a Ph.D. and experience with quantum computing software frameworks and programming languages, with a strong publication record. | — | 0 |
| Quantitative Trading & Research - Quantitative Trader - Associate Quantitative Trader Associate role focused on the US Interest Rate Swap market, involving research on trading strategies, data analysis, back testing, and expanding modeling tools. Requires strong programming skills and knowledge of quantitative fields. | — | 0 |