Senior Product Associate role focused on Voice Product within JPMorgan Chase's Consumer & Community Banking Operations. The role involves defining product vision, strategy, and roadmaps for customer-facing solutions, with a key focus on integrating agentic AI into the Contact Center as a Service (CCaaS) platform to transform customer experience. Responsibilities include partnering with product owners, creating design strategies for contact center solutions, providing direction to technology teams, analyzing product metrics, writing requirements, and developing innovative concepts. Requires experience in product management, contact center solutions, and understanding of software development methodologies, with a preference for financial services industry experience.

Lead the design and delivery of AI-driven solutions to revolutionize marketing campaign planning, management, and activation within JPMorgan Chase. This role focuses on creating new processes, driving operational efficiency, and accelerating speed to market through AI agentic solutions.

This role focuses on designing conversational AI experiences, specifically for an internal help phoneline, leveraging large language models (LLMs) and traditional IVR systems. The designer will create end-to-end use case flows for voice, chat, and multi-modal interfaces, conduct user research, and collaborate with ML teams to train LLMs based on conversational design principles. The goal is to improve user experience, drive efficiency, and align with business objectives within an enterprise environment.

Senior Lead Software Engineer role focused on building the engineering stack for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps, and MLOps, to industrialize AI/ML models at Production scale within a financial sector context.

This role is for a Senior Lead Software Engineering - AI/ML Engineer focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase in London. The role involves building scalable and resilient data solutions, incident management, root cause analysis, and implementing automation. While it involves AI/ML data platforms and uses Python/PySpark for AI/ML modeling, the core function is SRE and platform engineering, not direct AI model development or research.

Software Engineering III role focused on Site Reliability Engineering for AI/ML Data Platforms at JPMorgan Chase. Responsibilities include building and supporting scalable, resilient data solutions, troubleshooting, incident management, root cause analysis, and implementing production changes. Requires proficiency in SRE principles, observability tools, Python/PySpark, and system design. Experience with Databricks, Snowflake, and AWS is preferred.

JPMorgan Chase is seeking a Vice President for AI Data Products to help execute the Firmwide transition towards a Data Product approach. This role involves defining, developing, and registering data products to increase speed to insight and enable novel analytics. The VP will collaborate with business leaders to build a culture of data product management, define data product visions, and execute aligned data and analytics strategies. Responsibilities include refining data product development approaches, gathering feedback, determining high-priority data products, ensuring registration in the data catalog, leading strategic reports, defining effectiveness metrics, and communicating complex data concepts.

This role focuses on building and scaling AI-enabled content workflows within a regulated financial services environment. The primary goal is to improve the speed, quality, and consistency of content delivery across Asia for the Private Bank. The role involves setting editorial standards, establishing governance, and implementing AI-assisted content processes with strong controls and measurement.

This role is for a Senior Product Associate at JPMorgan Chase within Wealth Management. The primary focus is on enhancing digital client experiences for Wealth Plan, a tool that helps clients visualize net worth, track spending, set goals, and simulate wealth strategies. The role involves user research, analyzing metrics, collaborating with cross-functional teams, and defining product requirements. While the team integrates ML/AI for predictive insights, this role is product-focused rather than AI development.

Product Manager role focused on driving adoption of AI technologies, including prompt engineering and AI use case assessments, within a financial services context. The role involves product ownership of AI-driven platforms, integration of AI solutions, and ensuring compliance with regulations.

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.

Technical Program Manager for Payments Technology at JPMorgan Chase, focusing on communications, project delivery, and stakeholder management. The role involves creating technical content for various audiences, managing events, and ensuring alignment with business goals. Familiarity with AI, public cloud, and big data is required, with experience in AI tools being preferred.

Senior Manager of Software Engineering responsible for designing, building, testing, and delivering Infrastructure-as-Code and platform services. The role involves driving adoption of agentic AI-enabled engineering to reduce toil, improve insights, and enable self-healing capabilities, while also focusing on people management and technical leadership for a team of 8+ employees. Experience with cloud platforms, AI-enabled tools, various databases (including vector databases), and observability tools is required.

This role focuses on building platforms and shared services for AI Governance Engineering within a financial institution. The primary goal is to enable teams to develop, deploy, and operate AI/ML solutions with integrated compliance and governance, emphasizing security, reliability, auditability, and responsible AI. The role involves architecting and building governance-by-design platforms, developing reusable services and APIs, creating developer-first tooling, integrating controls into CI/CD pipelines, and implementing observability for governance platforms. It's a senior engineering role with technical leadership responsibilities.

Product Vice President role at JPMorgan Chase focused on shaping data models and product capabilities for wholesale credit risk. The role involves collaborating with stakeholders, defining requirements, and driving execution. A key aspect is leveraging LLMs and AI for new use cases, specifically implementing LLM-based financial spreading for data models. The role also involves contributing to product strategy, defining metrics, and driving product development with engineering teams.

Software Engineer III at JPMorgan Chase focused on automating development solutions using prompt engineering and agentic programming. The role involves designing, developing, and troubleshooting technology solutions within an agile team, with a focus on secure, high-quality production code and architectural design. Responsibilities include analyzing data for continuous improvement, identifying patterns for system enhancements, and contributing to software engineering communities.

Lead Software Engineer responsible for integrating AI assistants into development workflows, establishing governance, and tracking outcomes. Focuses on secure, resilient, and scalable technology solutions within a large enterprise environment.

Lawyer CDAO Legal role at JPMorgan Chase, advising on AI legal and regulatory matters, managing AI legal support, structuring AI-related agreements, and providing legal advice on AI research and product development. Requires experience with AI legal risk, governance, and global AI regulations within a financial institution.

Develop and apply statistical and mathematical models to analyze complex data trends and patterns, generate analytical insights, and develop statistical solutions that streamline business processes, uncover new opportunities, and bolster strategic decision-making. Conduct research on market trends and perform analysis of internal data. Utilize findings to craft actionable insights, guiding the strategic direction of the organization and identifying potential areas for product innovation and growth. Collaborate with cross-functional teams across product, business, and technology departments to implement data-driven strategies, in order to create and refine analytical models and algorithms. Document and communicate complex technical and analytical results tailored for a non-technical audience. Design and develop the analytical framework and algorithms for the automated application booking process for car dealers. Process monthly reporting of KPI, highlighting any anomalies in trend for senior leadership.

This role focuses on enabling the practical application of GenAI agents within an enterprise setting. The primary responsibilities include coaching teams on outcome-driven delivery, removing blockers, and designing/prototyping lightweight GenAI agents for productivity improvements. The role emphasizes prompt engineering, basic tool-using agents, and ensuring alignment with enterprise governance and risk controls. While not deep R&D, it requires foundational GenAI fluency and comfort partnering with engineers.

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.

Software Engineer III with 6-9 years of experience in Java, platform engineering, and AWS, focusing on designing, building, and delivering secure, stable, and scalable software for acquisition enablement platforms. The role involves implementing software platforms, migration services, and AI-based solutions, utilizing AI tools like Gemini, Claude, and CoPilot for automated generation of UI, design, code, and test cases to shorten the SDLC. Experience with microservices, CI/CD, DevOps, and QA automation is required.

Manager role focused on AI/ML governance, data control, and operational risk within a financial institution. The role involves overseeing risk, ensuring compliance, and managing projects related to AI/ML, particularly LLMs and Generative AI, within the International Consumer Business.

This role focuses on modernizing trading cost calculation, reconciliation, and governance within a financial services context. It involves delivering data-driven platforms and leveraging intelligent automation to improve transparency and reduce costs. The role requires strong analytical skills, product knowledge, and delivery leadership, with a focus on translating business needs into scalable solutions and enhancing controls.

Lead role focused on making data available and AI-ready for financial services (Asset & Wealth Management). Responsibilities include data provisioning, lineage, metadata enrichment, data quality, and embedding controls to support AI/analytics initiatives and meet regulatory requirements. Requires strong data management, data science, and leadership skills within a complex financial environment.

Lead Software Engineer to design and build software and AI capabilities for a new platform in investment solutions, focusing on customized client needs.

Lead for migration data, focusing on accuracy, timeliness, and control. Will leverage AI for insights, automation, and developing AI/chatbot features in dashboards for natural language querying. The role involves data warehousing, automation, and developing insights from cross-migration data, resource utilization, project attributes, and case volumes.

Product Manager for AI Infrastructure Platforms at JPMorgan Chase, responsible for strategy, roadmap, and delivery of products enabling model training, inference, and experimentation. Focuses on customer needs, business impact, and compliance within a large enterprise.

Executive Administrative Assistant supporting the Wealth Management Technology team, leveraging enterprise AI tools for productivity, managing calendars, travel, expenses, and onboarding/offboarding. Requires strong organizational and communication skills, proficiency in Microsoft Office, and experience with international travel coordination.

Software Engineer role focused on designing, developing, and implementing software solutions, with a significant emphasis on integrating Artificial Intelligence (AI) and Machine Learning (ML) models into applications to enhance automation, data analysis, and predictive capabilities. The role involves developing large-scale ML systems and utilizing Python for application development, supporting business objectives with ML algorithms and LLMs. Experience with core Java, various UI frameworks, web services, cloud environments (AWS, PCF), and CI/CD practices is required.

Software Engineer III on the Customized Managed Account Solutions (CMAS) Strategic Initiatives team at JPMorgan Chase. This role focuses on designing and building software and AI capabilities for a new platform that customizes and implements investment solutions. The candidate will work with stakeholders to translate business needs into technical solutions, develop and maintain AI systems, and integrate AI-powered features into applications. Requires 3+ years of software development experience, proficiency in Python, Django, Pandas, SQL, and experience with AI coding techniques and building AI features.

Product Manager at JPMorgan Chase responsible for driving the strategic vision and execution for products, translating business needs into technical requirements, and partnering with data scientists to leverage AI/ML capabilities for business insights and competitive positioning. The role involves managing stakeholders, cross-functional teams, and project work streams to ensure product development aligns with business objectives.

This role is primarily focused on financial planning, analysis, and reporting within the Treasury and Chief Investment Office at JPMorgan Chase. While it involves leveraging AI tools and LLMs for efficiency and analysis, the core responsibilities are in financial operations and reporting, not in building or researching AI models. The role requires experience in financial analysis, regulatory reporting, and using automation tools, with a focus on driving AI initiatives and training teams on AI usage within the organization.

Software Engineer at JPMorgan Chase focused on designing and developing secure authentication frameworks for web and mobile platforms. The role involves end-to-end ownership, including maintenance, integration, and deployment. A key responsibility is the design and deployment of AI/ML authentication systems to dynamically assess security risks, improve verification accuracy, and reduce fraud. The position also requires managing resources, directing cross-functional teams, and ensuring adherence to regulations.

Senior Lead Software Engineer role at JPMorgan Chase focused on prompt engineering and agentic AI workflows to automate development solutions within the Commercial and Investment Bank. Requires strong Python skills and experience in Agile development.

Lead Software Engineer role at JPMorgan Chase focusing on building and enhancing technology products within the Consumer and Community Banking division. The role involves executing software solutions, creating user interfaces, developing secure production code, and identifying opportunities for automation. A key responsibility includes evaluating and integrating Agentic offerings like MCP and RAG, and demonstrating proficiency in AI/ML technical disciplines.

Lead Software Engineer for a China LLM team to build an AI enablement platform connecting to global LLM endpoints, focusing on UI and backend services with regulatory compliance and secure access controls.

Lead Software Engineer at JPMorganChase within the Branch Ops Product team, responsible for enhancing, building, and delivering technology products. The role involves executing creative software solutions, developing secure production code, identifying automation opportunities, leading vendor evaluations, and driving awareness of new technologies. Requires hands-on experience in system design, application development, testing, operational stability, proficiency in programming languages, automation, CI/CD, and understanding of agile methodologies. Experience with cloud platforms (AWS, Azure, GCP), AI/ML cloud services, Infrastructure as Code, and the financial services industry is also required.

JPMorgan Chase is seeking a Transactions Manager II to lead teams responsible for processing legal document transactions. The role involves improving productivity, quality, customer experience, and risk management, while ensuring alignment with state rules and regulatory requirements. The manager will leverage AI tools, including prompt writing, to drive innovation and support process excellence. This is a product-focused role within the fintech domain, with an AI maturity signal of 'Exploring' as AI tools are used but not built.

This role supports Cash Equities trade support operations, focusing on the entire transaction lifecycle, risk management, and operational process improvement. It involves leveraging automation, data analytics, and scripting languages (Python, SQL) for trade capture, reconciliation, and workflow efficiency. The role also requires familiarity with LLMs and AI-driven solutions to streamline operations and enhance control frameworks, while participating in strategic initiatives for process improvement and technology adoption.

This role is in Compliance Risk Management at JPMorgan Chase, focusing on providing independent oversight and assessment of processes, risks, and controls within Collections & Recovery, Customer Service, and Card Lending Operations. The role involves ensuring regulatory compliance, executing the CCOR framework, and leveraging AI/ML and data analytics to understand business data, analyze processes, and develop monitoring routines. It requires strong knowledge of consumer regulations and collaboration across departments.

Product Owner for a Wealth Management Self-Directed Invest Account Opening team, focusing on defining vision, strategy, and execution of digital account opening experiences. The role emphasizes leveraging AI tools for accelerating product delivery, building AI-powered knowledge repositories, and driving data-informed prioritization.

Product Manager role focused on R&D for a client data platform within JPMorgan Chase's Commercial & Investment Bank. The role involves exploring and developing innovative data solutions, piloting cutting-edge technologies, identifying trends, and fostering experimentation. It requires managing R&D initiatives, collaborating with cross-functional teams, and driving CRM transformation. While AI is mentioned as part of the Data, Digital and AI group, the core responsibilities focus on R&D management, data solutions, and business outcomes rather than direct AI/ML model development or deployment.

Seeking an Analytics Solution Associate for the Card Pricing Execution Team at JPMorgan Chase. This role involves reviewing and overseeing exceptions in critical functions like fees and interest, collaborating with senior analysts to optimize pricing execution processes, and developing automated analytical workflows using tools such as Alteryx, Python, SQL, and Snowflake. The position also requires evaluating and ideating opportunities to apply AI/GenAI/intelligent automation to enhance investigative analysis, control documentation, and workflow efficiency. A Bachelor's degree in a quantitative field and experience with automation frameworks and data analysis tools are required.

This role is for a Vice President in Control Management within JPMorgan Chase's Payments Operations division, focusing on overseeing control management across global locations, supporting EMEA Cash Operations. The responsibilities include mapping data taxonomy, driving the operations control agenda, managing control elements for strategic projects, conducting root cause analysis, and overseeing process reviews. The role requires experience in risk and control management within financial services, proficiency with data tools, and the ability to use AI/ML for operational risk and control analytics. It also involves partnering with various departments like Risk, Compliance, and Technology, and ensuring adherence to regulatory standards.

Lead the data domain architecture and operating framework for Customer Experience survey data, enabling scalable survey execution, interactive reporting, and actionable insights. Partner with stakeholders to modernize processes, improve data quality and controls, and unlock value from platforms like Qualtrics. Evaluate emerging technologies, including Generative AI tooling, to improve data preparation, interpretation, and delivery.

This role is a Vice President of AI Enablement within the CCB Risk AI portfolio at JPMorgan Chase. The primary focus is on leading programs and initiatives, partnering with stakeholders to understand business workflows, ideate solutions, build roadmaps, and drive delivery from concept to implementation. While the role involves supporting GenAI adoption and working with technical teams on solutions, it is not a hands-on AI/ML development role but rather a product/program management function focused on enabling and scaling AI within the risk domain.