Lead Software Engineer focused on SRE for AI-powered applications and infrastructure, emphasizing reliability, scalability, and automation. Responsibilities include designing AI-driven alerting and incident response systems, building observability, and mentoring engineers on AIOps.

Product Manager at JPMorgan Chase focused on leading the Client360 Consumptions Lead initiative. The role involves shaping product strategy, managing the end-to-end service lifecycle, and maximizing the value of data and AI solutions for commercial and investment banking clients. Responsibilities include market research, backlog management, defining success metrics, collaborating with engineering and business teams, and ensuring regulatory compliance. Requires strong product management experience, knowledge of data analytics, and stakeholder management.

This role is for a Market Business Manager (VP) at JPMorgan Chase's International Private Bank in Singapore, focusing on driving growth in South East Asia. The role involves partnering with Market Heads to align priorities, streamline collaboration, mitigate risks, and leverage AI/LLM-driven data insights for decision-making. Responsibilities include spearheading strategic initiatives, leading dynamic projects, enhancing cross-team collaboration, identifying and addressing business risks, and analyzing data using digital tools. The ideal candidate has a Bachelor's degree in Finance or equivalent, a minimum of 10 years of experience in financial services (preferably private banking in SEA), strong business acumen, analytical skills, and proficiency in AI/LLM tools, Excel, and Alteryx.

Lead Software Engineer focused on Python, Big Data, AWS, and ETL pipelines within a fintech environment. The role involves designing, developing, and optimizing data pipelines, analytics workflows, and data models, with a strong emphasis on leveraging AI, machine learning, and advanced analytics for risk insights and anomaly detection. The engineer will also champion cutting-edge technologies and ensure data quality, security, and governance.

Executive Director role focused on marketing transformation and operations within Chase Auto, a financial services division. The role involves leading integrated marketing campaigns, modernizing processes with AI, automation, and data-driven personalization, and managing a high-performing team. Requires extensive marketing leadership experience and a track record of integrating advanced digital capabilities.

This role is for an Internal Strategy and Process Consulting Associate at JPMorgan Chase. The primary focus is on improving business processes, enhancing operational efficiency, and elevating customer experience by leveraging data analytics and AI tools. While the role uses AI tools and concepts to optimize business processes and AI systems, it does not involve building or shipping AI models or agents as its core craft. The role is focused on applying AI for business transformation within a financial services context.

Lead Software Engineer focused on Engineering Advocacy within the Payments domain at JPMorgan Chase. The role involves embedding with application teams to drive adoption of architecture standards and AI-assisted development practices, influencing engineering practices across 10,000 engineers through hands-on coding, gemba walks, tech talks, and content creation. The goal is to improve how teams build and adopt best practices in a high-volume transaction environment.

This role is for a Valuation Controller Associate in the Credit North America team at JPMorgan Chase. The primary focus is on applying data science skills to ensure fair value across complex financial products, particularly illiquid credit products. Responsibilities include developing analytics and models for valuation risk assessment, building tools for outlier detection and benchmarking, inferring fair value from sparse data, and exploring new data sources and techniques. The role requires a degree in a numeric or STEM field, knowledge of credit markets, experience with AI/ML, proficiency in Python and data science libraries, and strong communication skills. Collaboration with technology and quantitative research teams is expected.

This role is for an Internal Strategy and Process Consulting Associate II at JPMorgan Chase. The primary focus is on improving business processes, enhancing operational efficiency, and elevating customer experience through strategic consulting, data analytics, and the application of AI tools. The role involves breaking down complex problems, leading workstreams, delivering presentations to senior executives, and collaborating with cross-functional teams to implement process improvements and integrate digital tools, including AI and LLMs.

This role is for a Vice President in the EMEA Compliance team at JPMorgan Chase, focusing on Data, Privacy, and AI regulations within the banking sector. The position involves providing oversight, subject matter expertise, and support to ensure compliance with laws like GDPR and the EU AI Act, and contributing to reports for senior management. The role requires partnering with various internal teams and external regulators, developing risk mitigation strategies, and overseeing the firm's compliance with evolving data, privacy, and AI regulations.

Lead Technical Program Manager for AI and Data Management Controls in a fintech environment, focusing on delivering risk and controls projects, managing AI/ML initiatives, and utilizing automation and data analytics for risk assessment and reporting.

Lead Design Program Manager at JPMorgan Chase to shape and deliver user experience for CIB products and services. Focus on operational effectiveness, driving alignment to business goals, and improving ways of working. Will identify opportunities to enhance design operations and expedite delivery using emerging technologies, including AI. Responsibilities include organizing programs, creating and executing the Design Operating Model, building partnerships, overseeing projects, reporting, facilitating communication, leading improvements in agile ways of working, researching and recommending new tools (including AI), assessing risk controls, organizing retrospectives, and driving innovation in design processes.

Brand Designer, Senior Associate at JPMorgan Chase responsible for developing and executing visual identities and designs across various brand touchpoints. The role involves collaborating with creative leads and cross-functional teams, applying design principles, and integrating generative AI tools into the workflow.

This role is for a Tech Audit Manager, Vice President at JPMorgan Chase in London, focusing on Data Management and Artificial Intelligence within Commercial & Investment Banking. The primary responsibilities include leading audit engagements, assessing risks and controls related to AI and data, and ensuring compliance with internal policies and external regulations. The role requires a strong understanding of technology risk, data management, and AI concepts, with experience in auditing or relevant business areas. It emphasizes collaboration, stakeholder engagement, and leveraging data analytics to enhance audit effectiveness.

This role is within the Chief Data & Analytics Office (CDAO) strategy team at JPMorgan Chase, focusing on developing and driving the firm's data and AI strategy. The Senior Associate will manage high-priority strategy projects, analyze industry trends, and create executive-level documents to articulate the value and direction of AI and data priorities within the financial services sector. The role requires strong analytical, communication, and leadership skills, with familiarity in engaging stakeholders on complex technical concepts related to AI and data.

Develop and implement systematic trading strategies using quantitative and ML approaches for FX, Rates, Commodities, and Credit markets. Responsibilities include designing proprietary models for pricing, risk management, and execution, analyzing data for opportunities, back testing strategies, and maintaining trading software systems.

This role focuses on the product design and user experience for data and AI products within JPMorgan Chase's Chief Data & Analytics Office in APAC. The Vice President will shape and deliver end-to-end design, development, and delivery of these products, ensuring exceptional value, usability, and client satisfaction by leveraging design thinking, prototyping, and UI/UX best practices. The role involves collaborating with cross-functional teams, creating design artifacts, and ensuring compliance with regulatory requirements.

Principal Technical Program Manager for JPMorgan Chase's AI/ML Data Platforms team, focusing on driving the delivery of complex AI/ML technology projects and programs. This role requires strong technical program management, leadership, stakeholder management, and a deep understanding of the AI/ML data ecosystem and product lifecycle to achieve business goals within a regulated financial environment.

Associate role focused on delivering and supporting APAC-specific data and AI platforms, ensuring they meet business and regulatory needs. Responsibilities include vendor coordination, platform operations, integration of data and AI solutions, and ensuring compliance with data governance and regulatory requirements within a financial services context.

Vice President role focused on overseeing the delivery and integration of APAC-specific data and AI platforms within JPMorgan Chase's Chief Data & Analytics Office. The role emphasizes building robust, scalable, and compliant infrastructure to support data-driven transformation, manage risks, and meet business and regulatory needs in the financial services sector.

JPMorgan Chase's Chief Data & Analytics Office (CDAO) is seeking a Data Products Associate in Singapore to contribute to the design, development, and delivery of innovative data products. The role involves executing data product strategy, collaborating with stakeholders, enabling APIs and self-service data access, supporting data product delivery workflows, and implementing enterprise data platforms. The position emphasizes operational excellence, collaboration, and continuous improvement, with a focus on data governance and compliance with regulatory requirements.

Quantitative UX Researcher (LLM) at JPMorgan Chase, focusing on understanding digital product users and driving decisions to improve user experience. This role involves designing and executing quantitative research, analyzing data with advanced methods, and collaborating with cross-functional teams to inform product strategy and prioritization. The role requires experience in generative and evaluative UX research, surveys, A/B tests, statistical modeling, and data analysis using Python or R.

Principal Software Engineer role at JPMorgan Chase within the Asset Wealth Management, Client Onboarding Team, focusing on enhancing client onboarding processes by integrating AI/ML technologies, NLP, and predictive models into existing systems. The role involves designing and implementing robust technology solutions, leading AI initiatives, and collaborating with data scientists, while also requiring expertise in Java, J2EE, and AWS cloud solutions.

Social Media Strategist for JPMorgan Chase's Asset Management division in APAC, focusing on client acquisition and retention through strategic social media campaigns, content creation, and performance analysis. The role involves leveraging AI and data-driven insights to enhance brand recognition, engagement, and business value, while ensuring compliance with regulations.

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.

Senior Lead Software Engineer at JPMorgan Chase focused on US Listed Options platforms. This role involves leading technology teams, designing and developing mission-critical applications, migrating legacy systems to cloud-native architectures, and driving the adoption and integration of AI technologies. Requires deep experience in software engineering, securities processing, financial services, and AI-based development.

Product Delivery Manager (VP) at JPMorgan Chase, focused on leading firmwide data/ML/AI projects and programs within the Chief Data and Analytics Office (CDAO). The role involves strategic direction, end-to-end execution, stakeholder management, and ensuring alignment with bank objectives, with a strong emphasis on data management, lineage, controls, and regulatory compliance (BCBS). The position requires technical savviness in data architecture and familiarity with AI/ML operations, aiming to enhance customer experiences through data-driven innovation.

Lead Software Engineer for Market Risk at JPMorgan Chase, focusing on Python development to deliver practical solutions for risk management. The role involves transforming MVPs into production solutions, supporting VaR and Stress workflows, and using LLMs as an AI generalist to enhance prototyping, documentation, and operational support.

This role focuses on enabling the adoption and value realization of AI/ML solutions within a financial services context in the APAC region. It involves identifying use cases, translating business needs into technical plans, fostering AI literacy, and supporting the operationalization of AI/ML capabilities. The role requires strong collaboration with business and technology teams, understanding of the data lifecycle, and the ability to communicate complex AI concepts to business stakeholders. While it deals with AI/ML solutions, the core function is enablement and productization rather than direct AI/ML model development or research.

JPMorgan Chase is seeking a Quantitative Investment Analyst to join their Equity Portfolio Management team. The role involves combining fundamental equity analysis with quantitative and factor-based approaches, supporting risk modeling, portfolio construction, and quantitative research using Python/R. The candidate will also contribute to the application of AI/ML techniques to enhance investment research and portfolio management.

This role focuses on process improvement and operational excellence within a large enterprise, leveraging AI and LLM tools to drive innovative solutions and optimize business processes. The primary focus is on applying existing AI tools to enhance business operations rather than developing core AI models.

The role involves quantitative trading research, optimizing a systematic trading platform using statistical models and machine learning, and providing execution consultancy. Responsibilities include designing research projects, analyzing market data for signals, enhancing trading performance, developing optimal execution strategies, and creating trade analytics frameworks with dashboards and tools for TCA, market impact, and slippage. The candidate will lead cross-functional projects and collaborate with traders, portfolio managers, and technology teams. Requires advanced Python, financial database expertise, trading knowledge (market-making, statistical arbitrage, systematic trading), technical communication skills, market microstructure knowledge, Git experience, and applied ML experience (RL, NLP, deep learning).

This role is a non-technical PMO and enablement lead for an AI Solutions portfolio within a financial institution. It focuses on operational rigor, transparency, governance, and communication to support AI initiatives, partnering with various teams including product, technology, and risk. The role requires strong organizational and execution skills, with an interest in AI but no hands-on modeling.

Research Analyst role at JPMorgan Chase focused on equity research, requiring financial modeling, valuation, and industry analysis. The role involves applying data analytics, automation, and AI/LLM tools to enhance analysis and workflows, alongside traditional research tasks. Requires a minimum of 1 year of experience in a relevant analytical role and a degree in a quantitative or financial field, with a core capability in statistics, programming, and AI/LLM use.

This role is a Principal Technical Program Manager at JPMorgan Chase within the Global Liquidity & Account Solutions team. The primary focus is on leading and directing complex technology projects and programs, managing multiple workstreams, and ensuring disciplined planning, governance, and predictable delivery. The role involves stakeholder management, risk mitigation, and driving accountability. A key aspect is engaging with and driving the delivery of multiple AI initiatives and integrating AI into the delivery lifecycle, though the core function is program management rather than direct AI/ML development.

Product Associate role at JPMorgan Chase focused on developing product strategy, managing backlogs, and leading the execution of digital products, particularly for client onboarding and KYC solutions. The role involves cross-functional collaboration and requires understanding of business, policies, procedures, and compliance. While it mentions integrating with LLMs for AI-based strategy, the core function is product management within a regulated fintech environment.

Product Manager role focused on transforming Home Lending operations at JPMorgan Chase. The role involves identifying business outcomes, partnering with engineering and design, and delivering solutions. It emphasizes leveraging AI responsibly to accelerate product delivery, discovery, and decisioning, while adhering to governance and using firm-approved tools. The role also focuses on driving innovation, running experiments, and achieving measurable improvements in lead time and adoption rates.

Quantitative researcher for a credit trading team, focusing on designing and implementing signals for corporate bonds and indices, analyzing P&L drivers, market trends, and large datasets. The role involves using statistical modeling and potentially AI/ML techniques to inform algorithmic trading strategies and optimize competitiveness in systematic credit trading.

This role focuses on technology and cybersecurity operational risk management within Employee Platforms at JPMorgan Chase. The lead will provide independent oversight, develop risk management strategies, assess technology risk assessments and governance, and guide changes to risk management processes. A key responsibility is to understand and utilize trends and toolsets within AI/LLM platforms to assist and streamline assessments, and to integrate and use AI where appropriate.

This role focuses on building governed analytical foundations by formalizing product-level data semantics across a complex, heterogeneous landscape. The goal is to create machine-navigable data foundations that support cross-product analysis, AI-mediated consumption, and operational decision-making. The role involves discovering and formalizing data semantics, determining integration needs, building reusable patterns, embedding governance, and partnering with stakeholders.

This role is for a Sr Lead Software Engineer (Java) focused on building internal applications for bank leaders, including AI integration and collaboration solutions. The role involves leading technical delivery, designing and developing software, owning architecture, and mentoring teammates within an agile environment. While AI features are mentioned, the core craft is software engineering, not AI/ML model development.

This role focuses on managing and optimizing programmatic digital advertising campaigns, leveraging both manual and automated (AI, agentic) methods. The responsibilities include campaign setup, execution, analysis, reporting, and mentoring junior team members, with an emphasis on process improvements through automation and workflow enhancements. While AI tools are mentioned, the core function is marketing campaign management, not AI model development.

Manager of Software Engineering for Data Analytics team at JPMorgan Chase, leading multiple technical teams in financial technologies. Responsibilities include guiding daily tasks, setting team output expectations, managing stakeholder relationships, and ensuring compliance. Requires 5+ years of software engineering experience, project leadership, and knowledge of agile methodologies and the financial services industry. Experience with AI (generative or agentic) in design and coding is also required.

This role is for a Senior Associate, Design Program Manager at JPMorgan Chase within the Commercial and Investment Bank's Experience Design organization. The primary focus is on shaping the Payments business and managing a large design team by driving innovation, optimizing operational processes, and enabling design solutions at scale. The role involves piloting and scaling new AI-powered tools and solutions to enhance design processes, and requires experience in UX program management, operational efforts, and collaboration with cross-functional teams. Familiarity with emerging technologies, including AI tools, is desired.

Product Manager for Payments Sales Experience at JPMorgan Chase, focusing on leveraging AI and agentic capabilities to improve client and sales team operations. The role involves setting product vision, leading cross-functional teams, and ensuring responsible AI practices within a regulated financial environment.

This role supports a Security & Resiliency Initiative (SRI) by preparing pitch books, conducting research, financial valuations, and applying AI/LLM tools to enhance deliverables. It focuses on identifying risks in strategic supply chains and deploying financing solutions, often in partnership with the public sector, to enhance economic security and operational resilience in critical industries.

Quantitative trading role focused on European Government Bond and Interest Rate Swaps markets, involving systematic trading, pricing, risk management, hedging, and order execution strategies. Responsibilities include data analysis, research, developing modeling and automation tools, performance review, and maintaining trading software. Requires strong programming skills and knowledge of statistics and machine learning, with a preference for Rates market experience and algorithmic trading.

This role focuses on managing and optimizing programmatic digital advertising campaigns, leveraging both manual and automated (AI, agentic) methods. The responsibilities include campaign setup, execution, analysis, reporting, and mentoring junior team members, with an emphasis on process improvements through automation and workflow enhancements. While AI tools are mentioned, the core function is marketing campaign management, not AI model development.