Jobs at JPMorganChase

Develops and delivers secure, scalable full-stack Java applications for Payments Technology. Responsibilities include software design, coding, troubleshooting, testing, architecture documentation, data analysis, and production stability. The role requires Java 17+, enterprise application development, Agile SDLC delivery, AWS cloud-native deployments using EKS or ECS, Terraform, microservices, containerization, and responsible use of AI-assisted development tools. Preferred experience includes React, Angular, Reactive Java, and Oracle or PostgreSQL.

Develops and maintains secure, scalable Java and React applications within an agile team. Responsibilities include software design, coding, troubleshooting, architecture documentation, testing, cloud deployment, application resiliency, and system security. Uses authorized AI-assisted development tools responsibly to improve productivity and code quality, validates AI-generated outputs, analyzes data for system improvements, and contributes reusable engineering practices.

Leads a firmwide transformation of cash asset account structures within Payments Operations. Manages a multidisciplinary execution program across business lines, coordinating finance, settlements, and cash specialists. Oversees milestones, dependencies, risks, stakeholder alignment, change management, regulatory compliance, leadership reporting, and continuous improvement. The role requires strong program execution, communication, banking operations knowledge, and the ability to drive adoption in a highly regulated global environment.

Leads international payments processing operations in a global 24x5/7 environment. Oversees transaction processing, client servicing, controls, quality, timeliness, capacity planning, and continuous improvement. Manages a team of 15 or more, sets departmental strategy, drives process standardization, partners with senior stakeholders, manages projects and escalations, and owns performance management, talent reviews, and operational risk discipline.

Lead global payment lifecycle operations, managing teams, escalations, controls, compliance, and service quality. Drive automation, AI adoption, process optimization, cybersecurity, anti-fraud initiatives, and operational transformation. Interpret client needs, analyze trends, manage stakeholder relationships, oversee production risks, and present strategic updates to senior leaders and external clients. Develop talent through coaching and mentoring while ensuring resilient, efficient payment processing.

Develops secure, scalable full-stack Java applications for JPMorgan Chase’s Payments Technology team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and production stability. The role requires Java 17+, AWS cloud-native microservices, containerization with EKS or ECS, Terraform, relational databases, Agile SDLC delivery, and responsible use of AI-assisted development tools. Familiarity with React, Angular, and Reactive Java is preferred.

Lead the Mumbai-based Investment Governance team, designing oversight frameworks, conducting methodology and periodic reviews, and delivering analytics and automation solutions. Translate findings into leadership insights, drive strategic governance initiatives, and partner with Due Diligence, Risk, Compliance, Middle Office, Product, and Technology teams. Manage, coach, and develop team members while ensuring analytical rigor, strong documentation, timely issue resolution, and continuous process improvement.

Prepare and submit India regulatory reports, perform reconciliations and variance analysis, produce management and KPI reporting, monitor nostro breaks, support audits, maintain procedures, and partner with technology and control teams to automate processes and resolve issues.

Supports trading and portfolio management operations by processing trade orders, clearing trades, managing positions and expiries, resolving trade breaks, and addressing trader, client, and broker escalations. The role also drives process improvements, supports UAT and system releases, facilitates training, coordinates cross-functional issue resolution, and uses data and automation tools to improve operational efficiency.

Lead end-to-end delivery of expense-management tooling enhancements across requirements, implementation, testing, training, and post-launch support. Partner with business, operations, technology, product, and risk teams to improve workflows, automation, reporting, controls, and user adoption. Define KPIs and dashboards, manage dependencies and risks, support UAT, and ensure solutions meet governance, compliance, data-quality, and auditability standards.

Develops and supports secure, scalable Java software within an agile Asset and Wealth Management technology team. Collaborates directly with investment professionals, deploys production updates, reviews and debugs code, and influences application design and technical operations. Uses CI/CD, SRE tooling, messaging technologies, testing frameworks, and AI-assisted development tools. Provides technical guidance, promotes engineering standards, and validates AI-generated code for quality, performance, security, and responsible use.

Processes international payments, fund and wire transfers, investigations, sanctions screening, reconciliation breaks, exceptions, and control activities. Analyzes payment operations data, maintains reporting and databases, monitors management information, identifies process improvements, and resolves issues within service-level agreements. Supports stakeholder reporting, transaction accuracy, team training, backup coverage, and manual payment inquiries.

Manage trade lifecycle operations across asset classes, including cash movements, account funding, account onboarding into IBOR, validation checks, and reconciliation of positions, cash, and transactions. Resolve exceptions with product and technology teams, support client investigations, prepare operational scorecards, and drive process improvements. The role requires securities market experience, strong communication, stakeholder management, prioritization, and teamwork.

Develop and maintain software tools, UIs, frameworks, systematic trading strategies, monitoring systems, and attribution platforms for commodities trading. Process and analyze large datasets for alpha research, improve model robustness and integration, and collaborate closely with traders, quantitative researchers, and software developers. The role requires strong Python development, data science, visualization, database, and systematic research capabilities.

Build and manage large-scale data applications and data lake solutions for Finance and Securities Services. Integrate and model complex datasets, conduct analysis with SQL and Python, automate processes, and develop scalable analytics products. Manage projects end to end, including requirements gathering, BRDs, stakeholder coordination, and delivery oversight. Collaborate across Finance, Product, Operations, Technology, and developers, while leading AI/ML initiatives and establishing analytics best practices.

Own daily P&L reporting, month-end close, revenue analysis, forecasting, financial controls, and variance commentary. Analyze billing, revenue recognition, ledger booking, and business drivers while partnering with Product Management, Sales, Trading, FP&A, and other stakeholders. Present reports to senior leaders and support automation, strategic initiatives, process improvements, and business change programs using tools such as Alteryx, Tableau, Databricks, and LLM Suite.

Develop and support secure, scalable software solutions using Python and Java. Design application architectures, troubleshoot complex technical issues, maintain production code, and apply agile SDLC practices. Use OpenTelemetry, Dynatrace, Splunk, Grafana, Geneos, and Prometheus for observability, dashboards, alerting, and metrics. Analyze data to improve system architecture and coding quality, while responsibly using AI-assisted development tools. Collaborate with peers to validate code quality, security, resiliency, and performance.

Lead global alternatives product strategy and roadmap, simplify and scale target operating model, govern cross-LOB prioritization, drive fintech/AI-enabled data solutions, oversee delivery using agile practices, coach teams, and ensure regulatory, risk, and data governance adherence.

Own and scale a client data management product by driving product development, operating model improvements, governance, process optimization, and data-driven execution. The role partners with cross-functional stakeholders, analyzes large datasets, supports agile SDLC delivery, engages users, and shapes product strategy while improving operational rigor and measurable user value.

Leads software engineering within an agile Payments Technology team, building secure, scalable, high-throughput Java applications. Provides technical guidance, develops and reviews production code, drives AI-assisted engineering practices, improves SDLC automation, and influences product design and technical operations. Requires expertise in Java, Spring Boot, Kafka, cloud-native applications, distributed systems, performance tuning, and responsible AI use. Preferred experience includes Kafka Streams, microservices, Kubernetes, Apigee, behavior-driven design, agentic workflows, and production agentic AI.