Jobs at JPMorganChase

Analyze digital customer journeys, funnels, features, and product performance to identify growth opportunities and quantify impact. Define KPIs, measurement plans, experimentation criteria, and success metrics. Translate complex analyses into recommendations and executive-ready narratives that influence product roadmaps and go-to-market decisions. Ensure data quality, instrumentation, governance, and scalable measurement through partnership with engineering and cross-functional stakeholders.

Develop data pipelines, dashboards, AI agents, generative AI capabilities, and scalable model integrations. Use Python, SQL, Databricks, Tableau, and Alteryx to generate actionable insights, monitor model performance, ensure data quality, and support data-driven business decisions on agile teams.

Performs advanced quantitative analysis on complex datasets to develop business strategies, improve product and campaign performance, and deliver actionable insights. Responsibilities include data mining, statistical analysis, visualization, reporting, data quality assessment, anomaly detection, and stakeholder communication. The role serves as a data analytics subject matter expert, contributes to data models and enterprise data strategies, supports process improvement, and independently manages analytical programs and business initiatives.

Leads firmwide control-management programs, application development projects, governance forums, roadmaps, risk mitigation, change management, and executive reporting. Owns User Acceptance Testing governance, including readiness standards, entry and exit criteria, defect management, and sign-off. Aligns business, product, technology, risk, and control stakeholders while managing dependencies and delivery commitments. Mentors program managers and standardizes portfolio delivery practices.

Leads data science and machine learning initiatives for sales strategies, customer segmentation, campaign effectiveness, and branch optimization. Designs experiments, develops statistical and ML models, writes Python code, and converts prototypes into scalable production solutions. Collaborates with business, product, and technology partners to integrate ML into banking operations. Requires strong expertise in statistical modeling, machine learning, communication, and applied financial-services analytics.

Conducts deep-dive analyses, reporting, and data storytelling to guide product strategy and business decisions. Builds LLM-powered analytics applications, develops data products, defines success metrics, and identifies AI opportunities. Partners with Product, Design, Engineering, and senior leadership to improve product performance, customer experience, and measurable business outcomes.

Design, develop, test, deploy, and support business-critical enterprise applications using Java, Spring Boot, React, and related technologies. Translate requirements into technical solutions, integrate legacy systems, conduct code reviews, resolve performance issues, and maintain secure, stable production systems. Collaborate with global agile teams, apply SDLC and operational best practices, use cloud and automation tools, and provide production support during required Mumbai-U.S. team overlap hours.

Manages end-to-end trade processing, including order entry, execution, settlement, asset and cash monitoring, and operational controls. Leads a diverse team, applies automation and data analysis to improve trading systems, identifies risks and trends, and communicates insights to senior stakeholders. Drives continuous improvement, innovation, and strategic alignment across trading services operations.

The Quality Analyst designs and executes manual and automated testing for blockchain applications and financial workflows. Responsibilities include functional, integration, regression, API, end-to-end, performance, load, security, and penetration testing; validating smart contracts, ledger transactions, data integrity, and settlement workflows; managing test plans, defects, traceability, and audit evidence; and collaborating with developers, product owners, and analysts in Agile and Scrum environments.

Develops and troubleshoots secure, scalable Java software within an agile Asset and Wealth Management transactions team. Responsibilities include designing microservices, writing high-quality code, analyzing data, resolving technical issues, supporting upstream and downstream systems, and improving development through automation and authorized AI-assisted tools. The role requires experience across the software development lifecycle, application resiliency, security, testing, and operational stability.

Manage grantmaking operations, budgets, payments, financial accounts, regulatory reporting, audit requests, grant documentation, and portfolio tracking for India and other markets. Coordinate cross-functional grant reviews, reporting, governance, process improvements, training, and quarterly committee activities. Advise Corporate Responsibility leaders on budgeting, controls, business planning, and grant lifecycle processes while ensuring accurate records and compliance.

Leads technical programs and cross-functional initiatives for Asset and Wealth Management Technology India. Responsibilities include employee engagement, communications strategy, change management, events, executive messaging, stakeholder management, process improvement, risk planning, and program governance. The role also promotes AI-assisted workflows, manages shared technology capability initiatives, and ensures quality through validation, reporting, and strategic communication.

Analyze complex datasets and develop actionable insights for marketing offers, campaigns, customer behavior, and business growth. Build executive dashboards, operational reporting, and deep-dive analyses using SQL, Python, Alteryx, and Tableau. Partner with cross-functional stakeholders and senior leaders to communicate findings, define metrics, evaluate performance, and recommend data-driven strategies. Independently manage analytical programs, improve processes, and support data product and AI-driven solution development.

Lead enterprise business intelligence and advanced analytics for Commercial Investment Banking. Deliver governed semantic layers, Sigma and Tableau visualizations, AI-enabled natural language querying, predictive analytics, and insight-to-action governance. Partner with executives and Data Engineering, measure adoption and ROI, drive change management, and develop analytics talent. The role balances hands-on delivery with strategic leadership and requires advanced SQL, Python, statistical analysis, AI implementation, data governance, and executive communication.

Analyze end-to-end business processes, create workflow maps, identify root causes and automation opportunities, and design target-state solutions. The role involves stakeholder interviews, data-driven diagnostics, risk and control integration, process tool testing, executive-ready storytelling, project leadership, and change adoption across Consumer and Community Banking operations.

Develop and maintain full-stack Java applications, backend services, REST APIs, microservices, and responsive user interfaces. Integrate data platforms and event streams, improve data quality and observability, and apply secure, scalable engineering practices. Responsibilities include testing, CI/CD, code reviews, performance tuning, production support, troubleshooting, system design, and responsible use of AI-assisted development tools.

Owns end-to-end data strategy, governance, quality, metadata, lineage, controls, and lifecycle risk for a wealth management product. Prioritizes data pipelines and products, investigates issues, drives remediation, and communicates progress through KPIs. Partners across Product, Technology, Analytics, Risk, and Controls to enable reliable data for analytics, AI/ML, and customer experiences.

Manage pre- and post-trade lifecycle operations for OTC derivatives across asset classes. Responsibilities include funding managed demand deposit accounts, wire allocation, ledger reconciliation, trade instruction validation, controls, issue resolution, and cross-functional project leadership. The role also drives process improvements, automation adoption, operating model reviews, and coordination with Product, Technology, Change, and Operations teams while ensuring regulatory and industry compliance.

Oversee daily Asset Servicing operations for corporate actions and income products, including workflow execution, controls, client inquiries, reconciliations, breaks, metrics, and event management. Lead and coach teams, plan resources, update procedures, communicate regulatory changes, manage operational risk, and drive process improvements across products and processes.

Performs price verification, benchmark analysis, fair value adjustments, management reporting, and regulatory control activities. Partners with business, risk, finance, and functional teams on valuation issues, enhances independent pricing and control frameworks, assesses coverage, and implements tools to improve efficiency. Requires understanding of complex financial products, derivatives valuation, transaction flows, accounting, and quantitative analysis, with strong communication and organizational skills.