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 |
|---|---|---|
| Cyber Intelligence Senior Associate, Threat Intelligence This role focuses on engineering AI-powered threat research systems and applying frontier AI capabilities to discover and analyze cyber threats, accelerating threat research and risk assessment within an enterprise environment. It involves data acumen, automation, and validation of AI outputs. | DataAgent | 7 |
| Data Management Senior Associate This role focuses on developing and implementing AI/LLM-based strategies for data governance within the Consumer and Community Banking division of JPMorgan Chase. The primary goal is to manage data risks associated with enterprise data warehouse solutions, including data catalogs, data lakes, and reference data, as the organization transitions to the public cloud. The role involves defining and executing protocols, managing master data management strategies, and collaborating with various stakeholders to ensure data risks are understood and mitigated. |
| Data |
| 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 |
| Data Domain Architect Lead Lead a team of data analysts to support data annotation and labeling for machine learning models in a fintech domain. This involves developing strategies for training data optimization, identifying patterns in conversational data using NLP, and evaluating the quality of ML outputs. Requires experience in ML data annotation, data modeling, and Python. | Data | 7 |
| AI/ML Lead Data Engineer - Automation/Image Processing Lead Data Engineer responsible for designing, building, and maintaining scalable data pipelines and infrastructure for processing scanned document images, integrating OCR and computer vision models, and managing data storage on AWS. The role involves collaborating with data scientists and ML engineers, ensuring data quality and governance, and leading a team of data engineers. | DataServe | 7 |
| Executive Director-Firmwide AI Data Strategy Executive Director to shape the enterprise AI data strategy, focusing on knowledge representation, ontologies, and data foundations for AI applications at scale within a financial services organization. | Data | 7 |
| Home Lending Modeling & Strategic Forecast - Senior Associate This role focuses on developing and enhancing quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will lead statistical model enhancements, perform in-depth analysis, and collaborate with cross-functional teams to drive strategic decisions and ensure regulatory compliance. The role involves preparing model documentation, interfacing with stakeholders, and evaluating/deploying new technologies. A Master's degree in a quantitative field, 5+ years of experience, and proficiency in Python and SQL are required, with preferred experience in mortgage banking and data science/AI/ML. | Data | 5 |
| Vice President- Ontologist JPMorgan Chase is seeking a Vice President-Ontologist to shape their knowledge representation strategy using ontologies and taxonomies to enhance data interoperability and management, preparing data for AI applications. The role involves engaging with domain experts, assessing standard ontologies, and developing organization-wide ontologies, influencing various departments. | Data | 5 |
| Intraday Liquidity Management – Data Analytics and Forecasting, Associate This role focuses on developing and managing intraday liquidity analytics using AI/ML tools to forecast cash positions and outflows within a financial institution. It involves leveraging payments data, building backtesting frameworks, and collaborating with technology teams. | Data | 5 |
| Quant Analytics [Multiple Positions Available] Develop analytical frameworks, business intelligence tools, and predictive models for credit card product enhancement, customer insight generation, and portfolio strategy. Analyze data to detect behavioral patterns, assess performance, and identify growth opportunities. Partner with stakeholders to integrate findings into product planning. Design controlled tests and validations for model accuracy, compliance, and regulatory alignment. Present findings and recommendations to senior management. | Data | 5 |
| Trading Services Associate II This role focuses on applying AI and data science techniques, including LLMs, to automate trade processing, document extraction, and data analysis within JPMorgan Chase's trading services. The primary output is the implementation of technology solutions for process optimization and risk management. | Data | 5 |
| Securities Services - Billing Product Development - Vice President This role is for a Vice President - Product Delivery Manager in Securities Services Billing at JPMorgan Chase. The primary focus is on defining and delivering the strategic roadmap for end-to-end Billing, including supporting the AI & Data Strategy for Securities Services Billing. The role involves establishing a well-governed data foundation, streamlining data requirements, validations, and downstream impacts, and applying AI/ML-enabled approaches to enhance insights, efficiency, and risk management. Responsibilities include stakeholder engagement, defining product and data roadmaps, owning product/process/data end-to-end, establishing frameworks for requirements delivery, leading the delivery lifecycle, and managing risks. The role also involves leading and developing a team. | Data | 5 |
| Lead Software Engineer - Python and kdb+ / AI data integration, Alt Data & Data Ingestion Lead Software Engineer role focused on AI data integration and data engineering within a financial services company. The role involves leading technical initiatives, designing and optimizing real-time data pipelines, and leveraging AI technologies to enhance data engineering workflows and SDLC processes. It emphasizes the adoption and responsible use of AI-assisted engineering practices, mentoring teams, and building robust tools for quantitative research and trading. | Data | 5 |
| Quant Analytics [Multiple Positions Available] This role focuses on leveraging AI and LLMs to analyze survey responses and customer data for a financial institution. The primary responsibility involves data preparation, analysis, and insight extraction to improve business performance and understand customer journeys. The role requires experience with statistical methods, data querying, and presentation of findings. | Data | 5 |
| Lead Software Engineer – Data Engineering, Python/KDB Lead Software Engineer role focused on data engineering and real-time systems in a financial trading environment. The role requires strong Python/KDB expertise and leveraging AI technologies to enhance data engineering, automate SDLC, and deliver advanced analytics. The candidate will lead technical initiatives, design and optimize data pipelines, and collaborate with research and trading teams. | Data | 5 |
| Sr Lead Software Engineer – Data Engineering, Python/C++/KDB/AI Senior Lead Software Engineer role focused on data engineering and AI integration within a financial trading environment. The role involves designing and optimizing real-time data pipelines, leveraging AI for automation and analytics, and leading technical initiatives. Requires strong software engineering skills in Python/KDB/C++ and working knowledge of AI technologies. | Data | 5 |
| Tech Risk & Controls Lead - Data Strategy and Controls - GT CDAO Lead for Tech Risk & Controls focusing on Data Strategy and Controls within JPMorgan Chase's Global Technology Chief Data and Analytics Office. The role involves identifying, assessing, and mitigating compliance, operational, and data-related risks, with a specific emphasis on AI governance and data risk management in a regulated financial environment. | Data | 5 |
| Ontology / Knowledge Engineer - Chase Semantic Layer The role involves curating semantic data assets to build an intelligent knowledge graph, connecting enterprise data through ontologies and mapping assets. It focuses on formal knowledge representation, logical data modeling, and data integration to make data semantically interoperable for enterprise AI, analytics, and governance. | Data | 5 |
| Wholesale Credit Risk Portfolio Analytics - Associate This role focuses on applying large language model techniques to synthesize structured insights from unstructured data within the wholesale credit risk domain. The primary focus is on data preparation and analysis (L0), with a secondary application in agentic systems for insight synthesis (L4). The role requires strong quantitative skills, proficiency in Python and SQL, and experience in financial risk analytics. | DataAgent | 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 |
| Data Solutions Operations - Automation Analyst The Data Solutions Operations team at JPMorgan Chase is seeking an Automation Analyst to build reporting, dashboards, and automation. This role involves collaborating with stakeholders, developing skills in business intelligence, automation, and machine learning tools, and translating requirements into practical solutions. Responsibilities include building and maintaining dashboards, writing SQL, developing ETL pipelines, supporting machine learning models, and investigating data quality issues. | Data | 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 |
| Valuation Control Stress Testing - Associate Associate in Valuation Control Group focused on stress testing and predictive modeling for financial risk management. Develops models using Python, Excel VBA, and Alteryx, collaborating with various teams and interacting with regulators. Requires strong knowledge of statistical analysis, time series modeling, and applied machine learning. | Data | 5 |
| Data Science Product Senior Associate This role focuses on building data and analytics products for Finance at JPMorgan Chase. The Data Science Product Senior Associate will partner with product, data science, and engineering teams to deliver user-centric capabilities that improve data quality and accelerate trusted reporting. The role involves shaping model-powered features, dashboards, and controls, and supporting the development and testing of AI/ML models and their safeguards. Key responsibilities include translating business problems into analytical requirements, analyzing product usage and model performance, building dashboards, partnering on data validation and control alignment, and managing a backlog of data enhancements. The role requires a Bachelor's degree in a quantitative field, experience with SQL, data visualization, Python/R for analysis and model evaluation, and familiarity with cloud platforms like AWS and Databricks. Experience with experimentation, A/B testing, and data/business intelligence concepts is also necessary. The role emphasizes improving data quality, accelerating reporting, and ensuring compliance with model risk standards. | Data | 5 |
| Wealth Management , Chief Investment Officer Equities Team, Associate / Vice President This role involves applying AI and machine learning techniques to enhance investment research and portfolio management within a Wealth Management Chief Investment Officer team. The responsibilities include risk modeling, portfolio construction, and quantitative research using Python and large datasets, with a focus on equity markets. | Data | 5 |
| Senior Lead Software Engineer Analytics - Python Lead Software Engineer for JPMorgan Chase's Wholesale Credit Risk Technology Analytics Team, focusing on implementing critical technology solutions, developing secure production code, and identifying automation opportunities. Requires Python and Java proficiency, agile methodology knowledge, and cloud-native experience. LLM Engineering experience is preferred. | Data | 5 |
| Home Lending Modeling & Strategic Forecast - Senior Associate This role focuses on developing, refining, and maintaining quantitative models, including time series forecasting, econometric, and machine learning models, for Home Lending Finance at JPMorgan Chase. The Senior Associate will ensure alignment with firm's model risk guidelines and regulatory requirements, collaborate with stakeholders, and potentially introduce new technologies. The role requires a Master's degree in a quantitative field and 5+ years of experience, with proficiency in Python and SQL. | Data | 5 |
| Solutions Analyst – Operations Predictive Modeling & Forecasting Develops and maintains complexity modeling and end-to-end forecast modeling for marketing campaigns, leveraging statistical and machine learning methods for analysis, forecasting, and business strategy optimization. Focuses on predictive modeling, data modeling solutions, and forecasting techniques. | Data | 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 |
| 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 |
| Python Engineer, Senior Associate JPMorgan Chase (55ip) is seeking a Senior Associate Python Engineer to join their Quantitative R&D team. The role involves developing and growing a quant platform for historical and forward-looking simulations, backtesting, and machine learning. The engineer will work with quant teams to design and implement scalable cloud-native solutions, focusing on full-stack development with Python, AWS, and related technologies. Responsibilities include building high-performance web applications, producing architectural diagrams, participating in agile development, and ensuring code quality. | Data | 5 |
| Senior Lead Software Engineer - Data / Machine Learning Operations Senior Lead Software Engineer focused on Data/Machine Learning Operations within a financial services firm. The role involves designing, developing, and deploying large-scale cloud solutions, migrating legacy applications, and creating tools for automation and monitoring. Requires strong software engineering skills, cloud expertise, and good knowledge of ML modeling as an engineer. | Data | 5 |
| Quant Analytics Associate This role leverages data governance, predictive analytics, data science, and machine learning to support strategic initiatives in Collections and Recovery Operations within a financial services division. The associate will analyze data, monitor trends, and implement strategies to enhance performance and manage expenses, utilizing programming languages and visualization tools. | Data | 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 |
| Investment Banking Data & Analytics - Vice President This role focuses on building and scaling data products and pipelines for analytics and AI/ML within Investment Banking. The Vice President will own a portfolio of data products, build and operate data pipelines, and enable AI/ML workloads by provisioning features and labeled datasets. The role emphasizes data governance, quality, and compliance, with a strong focus on product thinking and delivering actionable insights through various consumption channels. | Data | 5 |
| Corporate Finance – Data Science Product Associate This role is for a Data Science Product Associate at JPMorgan Chase, focusing on building data and analytics products for Finance. The role involves translating business needs into analytics-driven features, collaborating with product, data science, and engineering teams, and supporting the development and testing of AI/ML models and their controls. Key responsibilities include analyzing product usage, building dashboards, ensuring compliance with data and model risk standards, and managing backlogs using Agile practices. The role requires a quantitative background, proficiency in SQL, Python/R for analysis and model evaluation, experience with experimentation, and knowledge of data and BI concepts. | Data | 5 |
| Risk Management - Wholesale Credit Risk Vice President This role focuses on developing and implementing machine learning models for wholesale credit risk management at JPMorgan Chase. Responsibilities include leading model development, designing statistical and econometric models, developing stress capital models (CCAR, ICAAP, CECL), and utilizing AI/ML techniques for risk monitoring and predictive modeling on large datasets. The role requires strong programming skills in Python and knowledge of credit risk modeling, with experience in regulatory reviews being essential. | Data | 5 |
| Digital Data Owner Lead - Vice President This Vice President role focuses on data ownership and governance within a financial institution, aiming to enable AI/ML use cases by ensuring data quality, defining critical data, and developing AI-ready data products. The role involves managing data lifecycles, mitigating risks, and collaborating with technology and business partners to deliver impactful data solutions. | Data | 5 |