This role involves processing financial transactions, managing customer inquiries, and contributing to projects that enhance customer experience. While the role mentions using AI and automation tools, its core function is transaction management and customer service, not building or researching AI models.

Product Manager for Quantitative Investment Solutions at JPMorgan Chase, focusing on product strategy, roadmap, and delivery of solutions for portfolio optimization, tax management, and trading quality. Collaborates with quant researchers, engineers, and compliance teams. Requires experience in investment management, quantitative research, and technology delivery. Mentions potential incorporation of AI/ML techniques.

This role is for a Senior Associate on the Digital & Platform Services Strategic Execution team at JPMorgan Chase. The team acts as an internal consulting group focused on designing and delivering strategy for DPS, which supports the Commercial & Investment Bank. The role involves working on project-based engagements, translating ideas into decisions and execution, and supporting high-impact initiatives. Responsibilities include owning workstreams, applying structured problem-solving, conducting analysis, designing operating models, and understanding emerging technologies like AI/LLM, ML, and Agents to inform strategy. The role requires 5+ years of experience in consulting, investment banking, or internal strategy, strong analytical and communication skills, and proficiency in using data and AI tools for analysis.

Software Engineer III - Front End Engineer at JPMorgan Chase, focusing on designing and delivering technology products within Employee Platforms. The role involves executing software solutions, creating secure production code, producing architecture and design artifacts, and analyzing data for continuous improvement. Requires 3+ years of experience in system design, application development, and proficiency in languages like JavaScript, React JS, Angular, and Node JS. Familiarity with AI tools like Github Copilot and MS Copilot is mentioned, along with an AI-first approach.

Executive Director, Program Director for North Americas Transformation team at JPMorgan Chase, focusing on leading the adoption and integration of AI and digital asset technologies across FICC Market Operations. This role involves managing large, complex projects, partnering with various business and technology teams, and driving innovation in financial services.

Manage analytics for small business marketing campaigns, including targeting, sizing, financial business case, modeling, list execution support, reporting, test design, and financial performance measurement. The role involves leading analytical financial optimization, building client relationships, advising on strategies, and collaborating with various teams. It requires proficiency in data analysis languages, database platforms, and business intelligence tools, with a focus on delivering financial analytics and insights.

This role focuses on process improvement, automation of manual tasks, and developing reporting suites within the financial services domain. While it mentions utilizing AI/LLM tools for insight generation, the core responsibilities revolve around data analysis, reporting, and system upgrades, rather than building or deploying AI models.

Equity Research Associate in Healthcare focusing on analyzing industry trends, company fundamentals, and market dynamics to provide clients with original research and strategies. The role involves leveraging advanced tools, models, and data, with an appreciation for programming experience in AI agents and large datasets.

Senior Director of Software Engineering for Prime Brokerage at JPMorgan Chase, leading multiple technical departments and driving the adoption of technical methods. The role involves modernizing legacy systems, adopting cloud-native architectures, and leveraging AI technologies to accelerate project delivery and enhance platform capabilities. Requires expertise in financial services domains, software engineering leadership, and cloud platforms.

This role supports the development and execution of AI and data policy advocacy, stakeholder engagement, and thought leadership within a global financial institution. It involves research, analysis of policy and regulatory developments, and project management to advance the team's priorities.

This role focuses on managing technology risks and controls within the Asset and Wealth Management division, ensuring compliance with regulatory and firm standards. It involves identifying, quantifying, and mitigating tech risks, collaborating with stakeholders, and reporting on control effectiveness. While the role mentions leveraging AI agents for risk analysis and staying current with AI-driven cybersecurity, its core function is risk management and control, not AI development.

This role focuses on business analysis and operational efficiency within the payments industry, leveraging data analytics and automation. While it mentions using AI tools as a preferred skill, the core responsibilities do not involve building or shipping AI/ML models.

The Analyst, Data Management supports the WKO Data & Reporting team by executing data extraction, reporting, and analysis tasks. The role involves learning technical skills across various data stores and platforms like Databricks, with exposure to AI/ML concepts. Responsibilities include report creation, SQL query writing, data engineering tasks, supporting AI/ML initiatives by preparing datasets and validating model outputs, and collaborating on reporting requirements and data quality.

This role is for a Senior Lead Site Reliability Engineer on the AI/ML Data Platforms team, focusing on building scalable and resilient data solutions. Responsibilities include incident management, root cause analysis, mentoring, and developing AI/ML solutions for troubleshooting. Requires proficiency in SRE principles, observability tools, Python/PySpark for AI/ML, and automation to reduce toil.

This role is for a Business Analysis Manager at JPMorgan Chase, focusing on supporting process improvements and key initiatives. The manager will lead a team, leverage business analysis principles and data analytics to uncover patterns and generate solutions, manage diverse teams, foster cross-functional collaboration, and ensure the delivery of high-quality service. Key responsibilities include developing procedures for regulatory compliance, testing system functionality, leading business strategy design, performing impact assessments, managing teams, driving automation initiatives using AI tools, conducting data analysis, and managing customer communications. The role requires expertise in business analysis, team management, data analytics, and strategic thinking, with preferred qualifications in leveraging AI tools, implementing automation, and prompt writing.

This role focuses on architecting and implementing low-code automation solutions using PEGA, Python, and AI/ML within Wholesale KYC Operations at JPMorgan Chase. The goal is to modernize client onboarding and due diligence processes, improve efficiency, and ensure compliance in a regulated financial services environment. The role involves translating business requirements into scalable workflows, building front-end components, and integrating with enterprise databases.

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.

Executive Director role focused on product delivery and transformation within Securities Services Reconciliations at JPMorgan Chase. The role involves leading a team, managing the product lifecycle, driving efficiencies through automation and AI/LLM tools, and ensuring adherence to risk, controls, and regulatory requirements. Requires deep understanding of Securities Services, Reconciliations Processes, and experience with product delivery, change management, and data-driven approaches.

Senior Lead Software Engineer for Site Reliability focusing on the firmwide Email services. The role involves building high-quality automation and leveraging AI technology in daily development practices, with a strong emphasis on system design, application development, testing, and operational stability within a cloud-native environment.

Product Delivery Manager for Securities Services at JPMorgan Chase, focusing on billing and client lifecycle solutions. The role involves leading product development, roadmap planning, and delivery oversight, with a vision for an AI- and data-centered approach to improve client experience and efficiency. Key responsibilities include stakeholder management, governance, driving data-centered product strategies, and identifying opportunities for automation and AI-assisted workflows.

Senior Lead Architect at JPMorgan Chase within the Workforce and Experience Technology team, responsible for developing high-quality architecture solutions for software applications and platforms. The role involves technical governance, evaluating new and emerging technologies (including AI/ML tools for software definition), and guiding technical teams. Requires 5+ years of experience in system design, application development, testing, and operational stability, with advanced knowledge in software architecture and cloud-native practices.

This role is for a Senior Manager of Software Engineering at JPMorgan Chase, leading multiple engineering teams within the Corporate Technology – Treasury & CIO (TCIO) Finance Technology team. The focus is on shaping the technical strategy for platforms related to internal funding and Net Interest Income (NII). Responsibilities include mentoring engineers, managing accountability for resources and operations, ensuring collaboration across departments, identifying and mitigating issues, managing platform strategy and modernization (including AI enablement), championing engineering best practices, and managing finance-grade controls. Required qualifications include formal software engineering training, experience leading teams, understanding of finance and accounting concepts, cloud-native experience (AWS), proficiency with Databricks/Spark, Python, and Java. Preferred qualifications include experience in AI/ML enablement for finance data, familiarity with finance technology operating models, and success in platform modernization.

Director of Software Engineering for the Morgan Direct platform at JPMorgan Chase in Hong Kong. This role involves leading technology teams, partnering with business stakeholders, and driving the adoption of AI and emerging technologies. Requires experience managing agile teams, cloud platforms (AWS), and integrating AI/ML into software solutions.

This role is for a Compliance Risk Management Lead at JPMorgan Chase, focusing on the J.P. Morgan Wealth Management (JPMWM) organization, specifically the online brokerage platform. The lead will advise on compliance aspects of products and services, identify risks, act as a second line of defense, and collaborate with various internal stakeholders and external regulators. The role requires expertise in financial industry compliance, investment products, and regulatory requirements. While familiarity with AI and automation tools is mentioned for enhancing compliance processes, the core function of the role is not AI development or research.

Lead the data foundation for the Trade and Working Capital business, focusing on data dictionary, datalake migration, and dashboard reporting across Snowflake, Databricks, and BI tools. This role involves data governance, enabling analytics and AI use cases, and partnering with technology and business teams in a regulated financial services environment.

This role focuses on designing, enhancing, and maintaining analytics and automation solutions, supporting cloud migration, and creating executive-level presentations and dashboards. It involves collaborating with stakeholders to deliver actionable insights and identifying opportunities to streamline processes using AI and advanced analytics. The role also includes project management activities and continuous professional development.

This role is for a Senior Product Associate focused on Marketing Automation Platforms within JPMorgan Chase's fintech domain. The primary responsibilities involve product development and optimization, user research, analyzing metrics, and collaborating with cross-functional teams. While there is exposure to AI/ML concepts like solution development and prompt design, the core function is product management for marketing platforms, not direct AI/ML model development or research.

Product Manager for Payments APAC Account Solutions at JPMorgan Chase, responsible for end-to-end product management, commercialization, and development, with a strong understanding of the regulatory landscape and risk framework. The role involves managing priorities, identifying product gaps, driving enhancements, supporting system migrations, performing new product assessments, delivering technology changes, acting as an escalation point, ensuring onboarding procedures, supporting business growth, and contributing to product strategy. Requires experience in Transactional Banking, Cash or Liquidity Management, and understanding of the APAC regulatory environment. The role mentions using analytical and AI tools to accelerate analysis and automate outputs.

Product Owner for digital tools for financial advisors in Japan, focusing on roadmap, delivery, and AI-enabled enhancements. The role involves translating business needs into product outcomes, managing an Agile backlog, and collaborating with global and local teams, while considering regulatory requirements.

Lead Technical Program Manager at JPMorgan Chase, focusing on risk and control management, audit preparation, and program delivery within a financial services technology environment. The role involves managing roadmaps, collaborating with engineering teams, and engaging stakeholders to drive AI/ML solutions. Experience with AI/ML platforms, model serving, or data analytics is preferred.

This role focuses on automating analytical workflows and exploring the application of AI/GenAI for operational efficiency within card pricing execution at JPMorgan Chase. The associate will build and maintain automated workflows using tools like Alteryx, Python, and SQL, and evaluate opportunities to apply AI for tasks such as exception analysis, control documentation, and workflow efficiency. While AI is mentioned as an area for exploration and application, the core responsibilities involve data analysis, workflow automation, and process improvement in a financial services context.

Product Delivery Director for Securities Services Reconciliations at JPMorgan Chase in London. The role focuses on leading the end-to-end product delivery journey, including intake, dependency management, release management, and operationalization. It involves managing change, ensuring adherence to risk and regulatory requirements, and mentoring a team. Experience with AI/LM tools and automation tools is mentioned, alongside a deep understanding of Securities Services and Reconciliations processes.

This role is for an HR Control Manager Vice President at JPMorgan Chase, focused on enhancing the control environment for HR data management, product management, and AI/ML governance. The position involves identifying and assessing risks, designing controls, and ensuring compliance with firm standards and regulatory expectations. It requires expertise in data governance, AI/ML governance, and risk management within a large, regulated financial services organization.

Product Manager role focused on integrating sustainability factors and corporate governance into an asset management platform, specifically for stewardship, engagement, and proxy voting. The role involves setting product vision, gathering user needs, managing the product backlog and roadmap, and collaborating with technologists and data scientists. A strong plus is developing prototype analytics solutions using code (Python, SQL, R) and experience with AI technologies like Generative AI and LLMs.

Seeking an Associate SME for Wholesale Credit Risk Administration at JPMorgan Chase in Bengaluru. The role focuses on driving automation initiatives within CIB risk CRUs and RBAC processes, managing access controls, and ensuring compliance with regulatory and internal standards. Requires deep expertise in CIB risk CRU structures and RBAC automation, with experience in project management and AI tools like Alteryx and LLMs.

This role is a Senior Associate Design Program Manager within the Experience Design team for Corporate and Investment Bank (CIB) Operations Experience Design (OXD) at JPMorgan Chase. The role focuses on driving operational excellence, collaboration, and quality in user experiences across CIB Operations. Responsibilities include overseeing program delivery, driving cross-functional collaboration, managing resources, producing executive reporting, embedding quality mechanisms, and identifying/piloting tool and process improvements, including AI and automation. The role requires experience in operational improvements, UX disciplines, stakeholder management in regulated environments, and familiarity with design and AI-assisted tools.

Legal counsel for a financial institution's operations innovation and product transformation teams, focusing on customer servicing and contact center capabilities. The role involves advising on technology-enabled solutions, including AI, managing legal and regulatory risks, and developing legal frameworks for responsible innovation within agile delivery environments.

This role is for a Vice President in JPMorgan Chase's APAC Branches Operations team, focusing on project and governance leadership. The role involves managing cross-branch projects, modernizing controls, and driving strategic initiatives to improve risk management and operational efficiency. While the role mentions leveraging analytics and innovation, including artificial intelligence models, to inform decisions and enhance processes, the core craft is not AI/ML development but rather project management, governance, and operational improvement within a financial services context.

This role focuses on reporting, analytics, and data stewardship within a financial services context. While it involves using and documenting generative AI tools for workflow improvement, the core responsibilities are centered around data analysis, reporting, and client support, rather than building or advancing AI models themselves. The role emphasizes data quality, process improvement through AI tool usage, and client-facing material development.

This role focuses on marketing analytics within the financial services sector, developing and delivering analytics to support revenue generation, client propensity modeling, opportunity sizing, and next-best-action frameworks. It involves measuring marketing campaign effectiveness, building attribution and segmentation models, and creating dashboards for stakeholders. The role requires strong SQL and Python skills, experience with visualization tools, and analytical thinking. Familiarity with ML concepts and Generative AI is preferred.

This role focuses on process improvement and operational excellence within a large enterprise, involving the development and implementation of training programs that utilize AI tools for process analysis. The associate will collaborate with teams to support change initiatives, analyze data, and communicate findings, with a foundational knowledge in process modeling and mapping.

VP level role focused on integrating customer intelligence, journey performance, and solution delivery to improve customer experience in the Card & Connected Commerce businesses. The role involves leading cross-functional initiatives, translating customer insights into solutions, and leveraging advanced analytics including AI-driven tools. This is a product-focused role within a mature fintech domain.

Product Manager for an internal reporting channel in Payments, focusing on merchant reporting, self-service analytics, and regulatory outputs. The role involves owning product strategy, roadmap, and delivery, with a focus on AI-enabled insights and decommissioning legacy platforms. Requires experience in payments, reporting, and regulated environments.

This role supports treasury sales teams by developing client messaging, sales readiness plans, and training programs, leveraging data-driven insights and emerging technologies like AI and automation to enhance efficiency and strategic delivery within the Commercial Bank.

JPMorgan Chase is seeking a Vice President for their CCOR Data Owner organization within the Data Strategy Team. This role will focus on executing data strategies, ensuring data is understood, fit for purpose, and well-governed. Responsibilities include data product ownership, managing projects, mitigating data risks, and partnering with technology teams. The role also oversees the delivery of a central data platform critical for AI/ML and advanced analytics innovation. Requires a minimum of 5 years of experience in data management, data governance, or risk management, with strong analytical, communication, and leadership skills. Experience with data lakes and SQL is required. Experience with AI/ML techniques is a plus.

Data Science Vice President for Co Brand Analytics at JPMorgan Chase, focusing on strategic analytical insights for cobrand credit card partnerships. Responsibilities include owning analytics strategy, mentoring junior scientists, consulting on experimental design, presenting findings to senior management, driving thought leadership in Gen AI use cases and segmentation, recruiting talent, and maintaining data controls. Requires a Master's in a quantitative field, 5+ years of analytics experience, proficiency in statistical software (Python, R, SAS) and SQL, and familiarity with GenAI and prompt engineering basics.

The Quant Modelling Associate role at JPMorgan Chase in Mumbai focuses on independent model validation and governance within the wealth management business. Responsibilities include evaluating model adherence to development standards, identifying risks, communicating findings, and providing guidance on model governance and regulatory expectations. The role requires an advanced degree in a quantitative discipline, at least 2 years of experience in model development or validation, strong analytical and programming skills (R, Python, SAS), and experience with financial modeling and risk assessment. Experience with AI/ML model development, testing, or validation is considered a plus.

This role focuses on technology risk and regulatory engagement within the financial services industry in APAC. While it involves leveraging AI/ML tools to support risk management, the core function is not building AI models but ensuring compliance and managing technology risks within a regulated environment.