This role is for a Senior Product Delivery Associate at JPMorgan Chase, focusing on identifying new product opportunities, managing product delivery processes, and analyzing product metrics. The role involves user research, stakeholder engagement, and writing product requirements. A key aspect is the hands-on experience using AI tools for tasks like drafting requirements and summarizing research, indicating an exploratory use of AI within a product delivery context.

This role focuses on developing AI-powered marketing analytics solutions within the financial services sector. The primary responsibilities include building analytical frameworks, designing dashboards, and delivering insights to optimize marketing strategies, measure campaign effectiveness, and drive revenue. While the role uses AI tools and concepts, it is not primarily focused on building core AI models.

This role is for a Senior Business Analyst in Securities Services at JPMorgan Chase, focusing on defining and delivering scalable platforms. The analyst will translate user requirements into functional specifications, shape technical designs, and ensure traceability. A key part of the role involves learning and utilizing the firm's AI capabilities, tracking AI trends, and facilitating AI rollouts across Operations, with a strong emphasis on governance and adoption rather than direct model development. The role requires experience in Securities Services or capital markets and the ability to document requirements, specify integrations, and define acceptance criteria. Experience supporting business-wide AI adoption is preferred.

Product Manager for Home Lending Infrastructure - AIML at JPMorgan Chase, focusing on AI solutions for conversational experiences, agent assist, and agentic workflows across the mortgage lifecycle. Responsibilities include developing product strategy, managing discovery and roadmap, and tracking key success metrics.

This role focuses on analyzing macroeconomic and financial data to identify trends and provide insights for consumer and business financial well-being. It involves data design, modeling, analysis, and visualization, with a basic understanding of statistics, econometrics, and machine learning. The primary focus is on data analysis and insight generation rather than building core AI models.

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.

Quantitative Analytics Associate focused on fraud prevention optimization within a financial institution. The role involves complex data analysis, strategy development, and leveraging advanced analytics, including large language models, to reduce fraud losses and improve customer experience. Requires strong quantitative skills, Python/SAS/SQL proficiency, and experience delivering recommendations to leadership.

Technical Project Manager III in the CIB AI4Tech team at JPMorgan Chase, London. This role focuses on leading AI adoption projects and programs to drive business goals and create client value. Responsibilities include developing project plans, mitigating risks, collaborating with cross-functional teams, and utilizing AI tooling fluency to recommend solutions. Requires 3+ years of technical program management experience, analytical reasoning, stakeholder management, and familiarity with AI tooling and models. Understanding of SDLC and AI developer tools like GitHub Copilot is preferred.

Senior Lead Software Engineer on the Corporate AI and Machine Learning Data Platforms team, focusing on designing and delivering secure, high-quality cloud platforms. The role involves developing cloud-based products, enhancing productivity, and enabling responsible innovation by leveraging AI/ML. Key responsibilities include technical leadership, designing cloud infrastructure, driving DevEx and CI/CD adoption, evaluating tooling, implementing telemetry, and standardizing AI-assisted coding tools. The role also contributes to the design and development of AI agents and MCP integrations.

Quantitative Analytics Associate focused on fraud prevention optimization within a financial institution. The role involves complex data analysis, strategy development, and leveraging advanced analytics, including large language models, to reduce fraud losses and improve customer experience. Requires strong quantitative skills, Python/SAS/SQL proficiency, and experience delivering recommendations to leadership.

This role focuses on building and optimizing cloud platforms that support data and AI initiatives within JPMorgan Chase. The Principal Software Engineer will lead technical direction for cloud platform engineering, focusing on secure, scalable, and reliable infrastructure. Key responsibilities include driving DevEx, CI/CD, evaluating tooling, implementing telemetry, and standardizing AI-assisted coding tools and AI agents for platform automation. While the role supports AI/ML initiatives and leverages AI tools, its core craft is cloud platform engineering, not direct AI/ML model development.

Lead Software Engineer for MLIO Virtual Conversation assist, focusing on integrating and deploying LLMs, managing API calls, streaming responses, and understanding performance and quality evaluation. The role involves prompt engineering, leveraging AWS services like Bedrock, and familiarity with Agentic AI concepts within a fintech environment.

Senior Lead Software Engineer at JPMorgan Chase focused on building and enhancing cloud-based BI and analytics solutions for Commercial and Investment Banking. The role involves designing and delivering solutions on large datasets, improving data performance, and leveraging AI-assisted development practices to speed up delivery. Responsibilities include managing ETL/ELT pipelines, data warehousing, query optimization, and developing dashboards, while also providing technical guidance and driving product design.

Principal Software Engineer focused on performance engineering for distributed systems in a financial institution. Responsibilities include defining NFRs/SLOs, scaling automated performance testing, driving resiliency, and applying AI/LLMs to enhance testing and reporting processes.

Product Manager for Fraud Strategy and Analytics within JPMorgan Chase's digital bank (Chase UK). The role focuses on delivering end-to-end solutions, leveraging cloud-native microservices, and supporting fraud detection and prevention through analytics and strategy implementation. The role requires knowledge of fraud processes, product management, and analytics, with a strong emphasis on compliance and regulatory standards.

This role supports a program driving the adoption of generative AI across JPMorganChase's technology organization, focusing on scaling AI-powered developer tools. The Strategy Manager will assist with transformation planning, track adoption progress, and create executive communications. Key responsibilities include coordinating AI tool rollouts, designing and maintaining engineering productivity metrics influenced by AI, and developing executive-level presentations. The role requires a strong understanding of the Generative AI ecosystem, experience with engineering productivity metrics, data visualization, and executive communication skills.

Senior Lead Data Engineer at JPMorganChase within the Commercial and Investment Banking, focusing on building and operating AWS/public cloud-based applications. The role involves developing secure production code, driving product design decisions, and acting as a subject matter expert in cloud and AI/ML software practices. Requires extensive experience in AWS, strong Python skills, and familiarity with MLOps and CI/CD. Emphasis on driving adoption of AI engineering tools for productivity gains.

This role focuses on designing the conversational experience for an internal Employee Assistant, leveraging large language models (LLMs) and AI technologies. The UX Conversation Designer will create AI-powered use case flows, conduct user research, and collaborate with ML teams to train LLMs, ultimately shaping the user experience of AI-driven internal products.

Senior Lead Software Engineer with Java/Python expertise on AWS, focusing on designing, developing, and troubleshooting complex software solutions. The role involves working with AWS services, data lake architectures, and has exposure to AI/ML concepts like model inference and deployment.

This role is for a Vice President in JPMorgan Chase's TCoE Analytics Solutions team, focusing on managing a team that develops and deploys analytical and automation solutions for compliance testing. The role involves program management, stakeholder engagement, defining and expanding the analytics toolkit, and ensuring adherence to firm-wide controls. While the role involves managing ML model deployments, its primary focus is on the application and delivery of these solutions within a compliance framework, rather than cutting-edge AI research or development.

This role is for an Experience Design Vice President at JPMorgan Chase, focusing on shaping user experiences for Co-Brand Card products. The role involves leading end-to-end design initiatives, developing design strategies, creating service design artifacts, and ensuring inclusive and accessible design. While the role mentions using AI-enabled tools, its core function is product design and strategy within the fintech domain, not direct AI/ML model development.

Product Manager for Digital Markets in Repo, focusing on electronic solutions for client, sales, and trader workflows. Will partner with data scientists to build client intelligence tools using AI/ML and incorporate agents/AI models throughout the product lifecycle. Requires strong Fixed Income Repo/Rates market knowledge and Python/SQL skills.

Senior Associate, Data Scientist role focused on applying statistical modeling, machine learning, and data analysis to real estate and project delivery problems within JPMorgan Chase's Global Real Estate Design & Construction team. The role involves designing and deploying analytics solutions, improving project delivery, capital planning, and workplace experience, and communicating insights through data storytelling. Requires a Master's or PhD in a quantitative field and experience with statistical software like SAS, Python, and R.

This role focuses on designing and validating fraud strategies and capabilities within the Card Fraud Strategy team at JPMorgan Chase. It involves leveraging data analysis and advanced analytics, including AI and machine learning, to improve fraud detection and treatment, while balancing risk mitigation with business objectives. The role requires collaboration with product, technology, and operations teams to develop and implement solutions.

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.

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.

Principal Software Engineer at JPMorgan Chase focused on building and enhancing Java frameworks using Spring Boot, with a strong emphasis on integrating AI solutions, RAG, and applied AI into enterprise products. The role involves architectural design, technical leadership, and driving innovation with cutting-edge technologies in a secure and scalable manner.

Lead Software Engineer for Full Stack/Cloud Foundation Services within JPMorgan Chase's Research, Development, and Innovation team. Focuses on hands-on research, prototyping, and engineering of innovative technologies and solutions for Cloud Foundational Services, including AI/ML products. Responsibilities include developing prototypes, designing scalable platforms, documenting technical specifications, and mentoring junior engineers. Requires experience with cloud computing, infrastructure as code, Python/Java/Golang, DevOps, and understanding of LLM/Agentic AI.

This role is responsible for setting the strategy and operating model for content creation, governance, and reuse within JPMorgan Chase. It involves leveraging AI responsibly with human review, modernizing content operations, and leading a content authoring team. The role focuses on enhancing content clarity, accessibility, and impact, and ensuring compliance with regulatory standards.

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.

Lead Software Engineer focused on the reliability, scalability, and automation of AI-powered applications and infrastructure, including AIOps, intelligent alerting, and observability.

Product Manager (VP) to lead the build-out of a CRM product within Digital Markets at JPMorgan Chase. The role involves defining and delivering CRM solutions to support digital market sales, including architecting workflows for sales productivity, client engagement, and operational efficiency. Responsibilities include integrating CRM with other digital platforms and incorporating AI/ML for insights and automation.

Product Manager for a card-linked-offers platform and marketing business strategies, focusing on building product vision, roadmaps, and delivering capabilities. This role partners with Data Scientists to drive business value through advanced data products using ML/AI and generative AI solutions, while managing stakeholders and ensuring governance and regulatory compliance.

This role is for a Senior Lead Architect focused on an Agentic AI program within the financial services domain, specifically Asset and Wealth Management. The primary responsibility is to bridge business strategy and technology execution by defining how AI capabilities will reshape the bank's operating model and client journeys. The role involves designing target-state business models, translating strategies into roadmaps, identifying AI use cases, and integrating agentic AI into core processes while considering regulatory and risk aspects.

This role is a Vice President in the Compliance team at JPMorgan Chase, focusing on Data, Privacy, and AI compliance within the EMEA region. The primary responsibility is to provide oversight and subject matter expertise to ensure adherence to regulations like GDPR and the EU AI Act, supporting risk mitigation strategies and reporting to senior management. It involves partnering with various business and control functions, developing training, and representing the firm in regulatory exams and audits.

This role involves developing and implementing fraud detection strategies and rules using data analytics and potentially machine learning models within a digital banking environment. The focus is on creating end-to-end solutions, working with cloud-native microservices, and ensuring compliance with regulations. The role supports fraud product, operations, and financial crime prevention, aiming to optimize detection and improve customer experience.

JPMorgan Chase is seeking an Associate in AI/ML Capabilities for their APAC Chief & Data Analytics Office. This role supports the building, enhancement, and scaling of AI/ML platforms and tools, assisting in the development, testing, and deployment of AI/ML solutions. The position requires a foundational understanding of AI/ML concepts and experience supporting AI/ML platforms, with a focus on adhering to data & AI risk and control, and regulatory requirements within the financial services industry.

This role supports the enablement of AI/ML solutions within JPMorgan Chase's APAC Chief Data & Analytics Office. The Associate will assist in identifying use cases, gathering requirements, documenting technical aspects, and supporting the operationalization and adoption of AI/ML capabilities. The role also focuses on promoting AI literacy, knowledge sharing, and community building around data and AI solutions, while conducting research on industry trends and preparing documentation for stakeholders. The role requires a foundational understanding of AI/ML concepts and experience supporting data analysis and AI/ML solution delivery, with an awareness of APAC regulatory requirements.

Associate role focused on AI strategy and commercialization within a financial services firm's Chief Data & Analytics Office. The role involves supporting the development of AI roadmaps, identifying and analyzing AI use cases, and contributing to the delivery of AI solutions that drive client value, operational efficiency, and risk management, with a strong emphasis on responsible and compliant implementation within the APAC region.

Senior Lead Software Engineer focused on Java full-stack development with React, leveraging AI-assisted coding tools and prompt engineering to enhance development workflows and productivity within an enterprise environment.

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.

Lead Software Engineer for Speech App Frontend at JPMorgan Chase, focusing on integrating generative AI into internal applications to boost employee productivity. The role involves designing and implementing React-based user interfaces, collaborating with cross-functional teams, and ensuring code quality and performance.

Lead Data Scientist role focused on payments transformation, driving business insights through data analysis, automated reporting, and product analytics. The role involves quantitative analysis, data wrangling, visualization, and supporting ML algorithm prototyping within a fintech domain. It requires strong SQL, data visualization tools, and consulting skills, with a preference for ML techniques and financial services experience.

This role is for a Global Sales Client Account Manager at JPMorgan Chase, focusing on serving sophisticated clients worldwide. The role involves leading initiatives to elevate client connectivity, unlock growth, and deliver value using advanced analytics and AI/LLM technologies. The individual will act as a trusted advisor, leveraging data to surface trends and opportunities, and fostering cross-functional collaboration.

This role leads client services strategy and transformation within a private bank, focusing on a 'Digital-First, Human-Led' model. It involves leveraging AI and advanced technologies to streamline processes, enhance service delivery, and personalize client interactions, while ensuring a robust control environment and leading a high-performing team. The position requires extensive experience in financial services, AI-driven change, and scaling AI pilots into production.

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.

Senior Product Associate role in JPMorgan Chase's Payments Data & Analytics team, focusing on developing and enhancing data-driven products for Merchant Services. The role involves user research, collaborating with cross-functional teams (Product, Analytics, Technology), defining data platform capabilities, establishing product KPIs, and managing end-to-end product support. While not directly building AI models, the role is passionate about building and scaling AI-powered features and products, requiring familiarity with AI/ML concepts and experience with enterprise data platforms and MLOps.

Product Manager to lead initiatives modernizing job and work architecture and the skill-to-job relationship, enabling cohesive employee and manager experiences at scale. This role operates within the Employee Experience Product Organization within HR, translating strategy into outcome-based roadmaps. Key responsibilities include managing workstreams, monitoring market trends, leading lifecycle activities, gathering user feedback, coordinating job architecture updates, partnering with various teams, setting goals, communicating vision, developing methodologies for skills inference and talent matching, and advancing a self-service model. The role will introduce AI-enabled solutions to improve user experiences and reduce operational risk. Requires 5+ years of product management experience, deep knowledge of the product development lifecycle, strong analytical skills, and excellent communication.