JPMorgan Chase

Senior Manager of Software Engineering at JPMorgan Chase, leading multiple technical teams in the Consumer & Community Banking division. The role focuses on platform strategy and modernization, including AI enablement for efficiency, anomaly detection, and automation. Responsibilities include managing platform strategy, championing engineering best practices, leading the design of high-throughput, low-latency applications leveraging machine learning architectures on AWS, and developing secure, scalable microservices. Requires formal software engineering training/certification and experience leading technologists, with practical experience in system design, application development, testing, and operational stability, particularly with Java-based microservices on AWS and near real-time stream processing.

This role focuses on implementing and automating client onboarding for financial products using AI tools like GitHub Copilot. The responsibilities include identifying AI-assisted opportunities, using AI assistants for implementation tasks, building Python prototypes for automation, and collaborating with clients and internal teams. The role requires strong Python skills, prompt engineering experience, and financial services background.

Principal Architect role focused on defining target architecture strategies for Consumer & Community Banking, emphasizing Domain-Driven Design and the adoption of AI-enabled capabilities. The role involves shaping modernization, ensuring security and compliance, and partnering with senior leaders to align architecture with business outcomes in a regulated financial services environment.

Vice President on the Global Banking Intelligence & Growth Strategy team focused on advancing revenue growth by integrating internal data, external market intelligence, and advanced analytical techniques, including AI and LLMs, to identify opportunities and shape strategic priorities.

Lead Software Engineer focused on DevOps and Python on AWS, responsible for designing and delivering technology products. The role involves automating processes within the European Legal Entity JPMSE by leveraging AWS Cloud and AI solutions, including developing AI/ML solutions and agentic systems, and managing container orchestration and infrastructure.

Senior Legal Counsel specializing in Technology and Intellectual Property, with a focus on structuring and drafting IP terms for technology agreements and providing specialized support for Generative AI platforms within a financial services context.

This role is for a Platform and Data Operations Director at JPMorgan Chase, focusing on the Client360 platform. The primary responsibilities involve strategic planning, execution, and oversight of platform and data operations to unify client data, drive business growth, and ensure regulatory compliance. While the role mentions leveraging AI and machine learning for insights, its core focus is on platform and data operations management rather than direct AI/ML model development or deployment.

Lead Data Engineer (VP) role focused on designing, developing, and optimizing SQL and PL/SQL solutions, primarily in Oracle environments, to support data engineering, analytics, and AI-driven architectures. Responsibilities include managing data pipelines, reporting datasets, and database strategies, with a focus on data quality, performance, and collaboration with stakeholders. The role also involves applying ML, GenAI, and RAG concepts for advanced analytics and reporting.

Manager of Software Engineering at JPMorgan Chase, leading agile teams to design, build, and deliver secure, stable, and scalable software. The role emphasizes implementing high standards, innovation, software platforms, migration, and AI-based solution generation using multiple technologies. Responsibilities include hands-on ownership of engineering deliverables, thought leadership, technical guidance, driving product design, and contributing to the engineering community. Requires strong experience in Java, platform engineering, AWS, SQL/NoSQL, SRE, and AI/Generative AI usage proficiency, including prompt engineering for automated code and solution generation. Also requires program management and people management skills for leading teams and owning estimations/timelines.

This role is for a Vice President in JPMorgan Chase's Data & AI CCOR team, focusing on independent second-line coverage of AI initiatives. The primary responsibility is to ensure appropriate governance and controls for the safe scaling and adoption of AI across the firm, including alignment with policies, guidance, training, and testing. The role also involves supporting regulatory supervision (e.g., EU AI Act) and managing operational, compliance, and conduct risks associated with AI implementation.

The role focuses on developing and implementing data analytics and data science solutions within the Internal Audit department of JPMorgan Chase. Responsibilities include sourcing, cleansing, and staging data, building analytical tools, and supporting data science initiatives to enhance audit testing and efficiency. The role requires experience with large datasets, SQL, Python, and data visualization tools, with a focus on delivering sustainable analytical solutions.

JPMorgan Chase is seeking a Vice President for their APAC Payments Transformation & Execution team in Singapore. This role will drive strategic change and operational efficiency across 14 APAC markets, focusing on delivering high-impact Payments transformation programs. Responsibilities include translating strategic priorities into execution, driving stakeholder alignment, advancing AI/ML and automation initiatives, developing business cases, and ensuring strong risk and regulatory discipline. The role requires a Bachelor's degree, 7+ years of experience in transaction banking with a focus on transformation, and demonstrated ability to lead complex, multi-stakeholder transformations. Experience in AI/ML and automation initiatives within a regulated environment is preferred.

Lead for Tech Risk and Controls within Data Strategy and Controls at JPMorgan Chase, focusing on identifying, assessing, and mitigating compliance, operational, and data-related risks in technology, data, and AI governance processes. This role ensures effective controls and adherence to firmwide frameworks and regulatory expectations.

This role focuses on defining and driving the adoption strategy for AI and automation technologies within a large financial institution. The Associate will partner with business leaders and technology teams to evaluate emerging capabilities, design adoption frameworks, and accelerate value realization from AI-driven solutions. Responsibilities include coordinating proof-of-concept initiatives, developing executive communications, and influencing platform roadmaps.

Lead Software Engineer role focused on modernizing applications and delivering technical solutions, with a strong emphasis on collaborating with data scientists to identify and implement AI-driven business opportunities. The role involves hands-on experience with AI/ML frameworks, Vector DB, LLMs, and cloud-based AI services, including specific mentions of Claude and DBx Vector search.

This role focuses on leading technology operations and ensuring the stability, availability, and performance of production services within a financial institution. A key aspect involves overseeing root cause analysis, problem management, and continuous improvement initiatives. The role also requires applying AI-assisted analysis to accelerate Problem Management outcomes and an understanding of how ML/GenAI can be applied to ITIL workflows, with an emphasis on validation and human judgment.

Lead Software Engineer focused on integrating AI assistants into the software development lifecycle at JPMorgan Chase. The role involves designing and implementing features, ensuring operational excellence, championing secure designs, and establishing governance for AI use, including prompt hygiene, PII protection, and outcome measurement. The engineer will also write production code, integrate with databases, and lead design reviews.

This role focuses on process improvement and operational excellence within a large enterprise, leveraging AI-driven tools and models to enhance efficiency and service delivery. The primary focus is on managing projects, applying change management strategies, and collaborating with stakeholders to optimize business processes, rather than directly building or researching AI models.

Lead for Technology Problem Management within the Investment Bank, focusing on ensuring operational stability and performance of production services. The role involves driving Root Cause Analysis (RCA), identifying opportunities for automation using Python and AI/ML, and collaborating with teams to reduce client impact and mitigate risks. Requires strong ITSM experience, Python proficiency, and data analysis skills.

Lead a team to define and execute analytics strategy for measuring developer productivity, technology efficiency, and product value, focusing on software delivery and developer workflows, including the impact of generative AI solutions. Responsibilities include building measurement frameworks, dashboards, and models, partnering with leaders, and driving scalable analytics.

Product Delivery Associate role within JPMorgan Chase's Chief Data and Analytics Office (CDAO). This role focuses on overseeing the strategic direction and execution of firmwide data/ML/AI projects and programs, driving innovation, influencing senior leadership, and ensuring alignment with strategic objectives. Responsibilities include setting strategic direction, overseeing end-to-end execution, leading data management initiatives with a focus on lineage and controls, and developing roadmaps. Requires significant experience in product/project/program management within financial services, familiarity with BCBS regulations, strong leadership, and tech-savviness in data architecture and data flow methodologies. AI/ML development and operations are mentioned as part of the platforms built by the CDAO, but the role itself is product delivery and program management, not direct AI/ML model building.

Executive Director Data Owner for Connected Commerce at JPMorgan Chase. This role focuses on making data a trusted, product-ready asset by ensuring high quality, governance, and protection, enabling AI and next-generation products. Responsibilities include defining data strategy, acting as a Product Owner for data, managing data risks, and improving metadata for AI readiness and self-service analytics. Requires 10+ years of experience in data management and governance within a regulated environment.

Lead Software Engineer at JPMorgan Chase in Securities Services Technology, responsible for enhancing, building, and delivering technology products. The role involves Ab Initio administration, development, UNIX scripting, DevOps, SQL, database expertise, cloud integration (AWS), and leadership. A key aspect is evaluating and integrating AI/LLM capabilities into applications, with a requirement for experience in the banking/financial services industry.

Quant Analytics Senior Associate focused on Customer Loyalty Analytics within JPMorgan Chase's Data & Analytics organization. The role involves analyzing complex data sets using SQL, Alteryx, Python, and Tableau to derive insights from customer journeys, identify KPIs, conduct trend analysis, and advise on strategies to improve customer experience. Responsibilities include data cleaning, transformation, interpretation, preparing presentations, documenting data lineage, and developing hypotheses. The role requires collaboration with cross-functional teams and staying updated on AI/ML trends.

Quant Analytics Senior Associate focused on Customer Loyalty Analytics within JPMorgan Chase's Data & Analytics organization. The role involves analyzing complex data sets using SQL, Alteryx, Python, and Tableau to derive insights from customer journeys, identify KPIs, conduct trend analysis, and advise on strategies to improve customer experience. Responsibilities include data cleaning, transformation, interpretation, preparing presentations, documenting data lineage, and developing hypotheses. The role requires collaboration with cross-functional teams and staying updated on AI/ML trends.

This role focuses on data management and governance within an enterprise setting, emphasizing the delivery of data products and leveraging AI/ML tooling to automate governance activities. The primary focus is on data preparation and curation for analytical and ML use cases, rather than direct AI model development.

This role focuses on building and maintaining AI-powered tooling, insights measurement infrastructure, and customer signal aggregation layers to support product portfolio decision-making. It involves designing insights frameworks, building dashboards, automating operational tasks, surfacing cross-product insights, and owning adoption measurement infrastructure. A key responsibility is designing, building, and maintaining agentic AI systems for anomaly detection, automated briefs, and natural language querying.

VP Product Manager to lead AI automation and data quality initiatives within a Data & Analytics organization. The role involves persona-driven discovery, building foundational data capabilities, managing an intake-to-graduation pipeline for pilots, evaluating internal and third-party AI solutions, and driving adoption through enablement and change management. Focus is on improving data quality, recurring reporting, and audience management to enhance analyst productivity and insights.

Lead Software Engineer for a full-stack Java/React/Spring application on AWS, focusing on enhancing and delivering technology products. The role involves designing, developing, and troubleshooting software solutions, reviewing code, identifying automation opportunities, leading vendor evaluations, and contributing to engineering communities of practice. Requires experience in SDLC, agile methodologies, monitoring tools, and the financial services industry. Experience with AI technologies like Claude or CoPilot is preferred.

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.

This role focuses on bridging business strategy, product, and data science to deliver actionable insights and scalable AI/ML solutions for bank branches. The Senior Associate will partner with data scientists to drive the design, delivery, and scaling of AI/ML solutions, integrate Generative AI, lead cross-functional projects, and implement strategies for personalized customer experiences, with a strong emphasis on user experience and measurable business outcomes.

This role focuses on designing user experiences for financial services products, specifically investment quote screens. It involves creating inclusive and accessible designs, integrating market data, and developing AI-driven features to surface financial data and insights. The role emphasizes collaboration with product, engineering, and data teams, and requires a strong understanding of user needs, business goals, and the financial services industry.

This role drives the strategic direction of data and AI initiatives within a large financial institution, focusing on AI and Agent Native data strategy. It involves partnering with various stakeholders (compliance, legal, tech, cybersecurity) to define requirements, develop business/product requirements for engineering teams, and test/design evaluations for LLM and agent outputs. The role also involves creating data artifacts using LLMs and agents, and promoting data culture. It requires experience with AI tooling and LLMs, and familiarity with agile methodologies.

This role is for a Valuation Controller in the financial sector, focusing on applying data science and AI/ML to ensure accurate pricing and robust controls for complex financial products, particularly illiquid credit. The responsibilities include developing analytics, building monitoring tools, and exploring new data sources and techniques to enhance valuation control and meet regulatory standards.

This role is for a Vice President in JPMorgan Chase's Centralized Research Group (CRG) supporting the Security & Resiliency Initiative (SRI). The role involves deep research, financial valuations, and preparing pitch books and marketing materials for clients. It integrates advanced AI/LLM methods to craft investment theses and assess opportunities, and applies AI/LLM tools to accelerate research and enhance deliverables. The focus is on identifying risks in strategic supply chains and deploying financing solutions to enhance economic security and operational resilience.

This role focuses on designing, engineering, and optimizing Databricks DDL models for analytics, ML, NLP, and LLM use cases within a financial domain. It emphasizes performance engineering, data quality, reconciliation, and documentation, with a secondary focus on enabling advanced analytics and NLQ.

This role focuses on transforming and optimizing credit forecasting processes within JPMorgan Chase's Consumer & Community Banking division. It involves integrating advanced analytics, implementing new tools and methodologies, and leveraging prompt engineering with GenAI capabilities. The associate will work on streamlining processes, automating tasks in Databricks, creating data pipelines, and managing transformation projects. Key responsibilities include defining requirements for semantic layers, enabling AWS services for analytics, and ensuring adherence to firm-wide controls and governance. The role also involves facilitating training on cloud capabilities and analytical tools.

This role owns the web analytics product strategy, focusing on data collection, analysis, and optimization across digital platforms. It involves defining roadmaps, creating tracking specifications, ensuring data accuracy, managing agency relationships, and interpreting performance data. A key aspect is collaborating with BI and data science teams to scale AI-powered web data solutions, including predictive analytics and automated optimization recommendations. Experience with AI/ML concepts and tools applied to web data is required, as is experience in a regulated industry.

This role is for an Experience Design Vice President at JPMorgan Chase within the Finance domain. The primary focus is on shaping user experience across products and services by leading design and research initiatives, ensuring alignment with business objectives and user needs. A key responsibility includes designing and implementing AI-enabled solutions such as intelligent agents, virtual assistants, and LLM architectures, and developing front-end applications. The role also emphasizes inclusive design and accessibility, collaboration with cross-functional teams, and analysis of market trends and user feedback to inform design decisions. While the role involves designing AI-enabled solutions, the core craft is user experience design, not AI/ML model development.

Lead architect and subject-matter expert for a financial planning engine, focusing on integrating AI for predictive modeling, optimization, and automation within the wealth management domain. This role involves product strategy, stakeholder management, and ensuring compliance with regulations.

Lead Software Engineer with a focus on full-stack development using Python, Java, and AI/LLM tools to build and enhance applications supporting the investment management cycle in the Asset and Wealth management line of business at JPMorgan Chase. The role involves working closely with portfolio managers, developing functional specifications, and contributing to technology modernization initiatives.

This role focuses on managing risks and controls related to data and AI within a financial institution. It involves identifying, assessing, and mitigating compliance, operational, and data-related risks, ensuring effective governance processes, and partnering with various stakeholders to report on the technology and data risk posture. The role requires expertise in risk management frameworks, data governance, and control execution within a regulated environment.

This role is for an Analytics Solutions Manager within a Machine Learning Center of Excellence at JPMorgan Chase. The primary focus is on business operations, strategic initiatives, and operational excellence to support the delivery of AI/ML solutions. The role involves partnering with various teams, including data scientists and engineers, to embed governance, controls, and compliance into workflows, streamline processes, and support financial management. While the role operates within an AI/ML focused center, its core responsibilities are in operations, project management, and process improvement rather than direct AI/ML model development or research.

Lead Software Engineer at JPMorgan Chase focused on building prototypes using AI agents and emerging technologies, defining ML platform standards, and accelerating prototyping with pair programming agents. The role involves full SDLC, microservices development, and potentially MLOps and Agentic AI architecture.

Senior Principal Software Engineer focused on Deposits Technology, providing deep engineering expertise to enhance, build, and deliver technology products. The role involves leading strategic development, creating novel code solutions, and driving adoption of technical methods, with a strong emphasis on Agentic AI and related technologies.

Business Manager VP role supporting Client Onboarding & Documentation, AI for Operations initiatives, and the Chief Data & Analytics Officer for Operations and Client Service within JPMorgan Chase's Commercial & Investment Bank. The role focuses on driving transformation projects, shaping product and operations strategy, and delivering insights to achieve operational excellence and business outcomes. Responsibilities include partnering with leaders on objectives and roadmaps, leading transformation initiatives (including AI/automation use cases), managing headcount and expenses, developing business cases, running investment governance, building metrics frameworks, analyzing data, and preparing executive materials. Requires a Bachelor's degree and 6+ years of experience in financial services in business management, operations/product management, strategy/consulting, or transformation roles, with strong financial acumen and data literacy.

Product Marketing Vice President for Alternative Investments within JPMorgan's Global Private Bank. This role focuses on strategic marketing, campaign execution, and content creation for alternative investment products, targeting UHNW and institutional clients. The position involves partnering with product teams, collaborating across marketing groups, and developing client-facing narratives and marketing deliverables to drive engagement and adoption. A key responsibility is to innovate using LLM and other AI tools to enhance marketing efficiency and effectiveness.

This role is for an AI Project Manager within JPMorgan Chase's Brand Operations AI Transformation team. The primary focus is on managing AI/ML projects related to creative and brand operations, ensuring they are delivered on time, within scope, and aligned with business goals and brand guidelines. The role involves coordinating cross-functional teams, managing project lifecycles, and bridging the gap between technical AI teams and business stakeholders. While the role uses AI/ML concepts and manages AI projects, its core function is project management rather than direct AI/ML development or research.