Jobs at JPMorganChase

Lead front-end engineer responsible for designing and delivering secure, scalable UI solutions using JavaScript/TypeScript and React. Collaborate across teams, produce architecture artifacts, ensure CI/CD and Kubernetes deployments, improve system stability, and drive adoption of enterprise AI-assisted engineering practices while enforcing secure coding, testing, and operational controls.

Lead sales optimization for wealth management by analyzing lead-to-conversion funnels, defining success metrics, translating business needs into analytics and technology requirements, managing delivery of advisor-facing tools, running experiments, and aligning cross-functional stakeholders to drive measurable improvements.

Support Product Owners and cross-functional teams to define requirements, manage product backlogs, coordinate UAT, facilitate stakeholder alignment, prepare status updates, and improve processes to deliver Wealth Management product enhancements.

Lead design, develop, test, and support enterprise backend services using Java/Spring Boot and Python. Build RESTful APIs, integrate data services, and deliver AI/ML-enabled features (LLMs, RAG, vector search) through the full SDLC. Produce architecture artifacts, ensure code quality, observability, security, and collaborate in Agile teams.

Partner with HR and business leaders to embed people analytics into decision-making: produce executive-ready insights, proactive workforce analytics, predictive models, automated reporting, and measure business impact while collaborating with BI, AI/Data Science, and Chief Data Office.

Assess and manage credit risk for structured and physical commodities transactions. Lead credit due diligence, negotiate credit documentation, monitor portfolio exposures, prepare senior management risk reviews, perform financial analysis, and mentor junior team members while partnering with trading, structuring, and regulatory stakeholders.

Lead engineer responsible for designing, building and operating scalable Big Data/ETL pipelines and production services on AWS. Drive automation (including LLMs/agents), SRE practices, security and data accountability, monitoring/alerting, incident management, and cross-team coordination. Champion AI-assisted engineering, remediate control/security findings, and improve reliability, performance, and operational efficiency.

Execute multi-channel, customer-focused marketing campaigns for lending and small business customers. Manage segmentation, targeting, creative approvals, QA, compliance, performance monitoring, and stakeholder reporting to drive engagement and portfolio growth.

Write, edit, and manage investing and personal finance content for digital channels; lead editorial projects end-to-end, coordinate with stakeholders and freelancers, track KPIs, and apply analytics-driven optimizations while ensuring compliance and brand voice.

Lead global exam management strategy and execution for regulatory exams, internal audits, and client requests. Oversee RFIs, presentations, governance, reporting, and stakeholder readiness. Manage a high-performing team, prepare executive-level materials, and coordinate cross-functional partners to ensure timely, accurate regulatory engagement and continuous improvement.

Design, develop, and maintain automated test scripts and frameworks (e.g., Selenium, JUnit, TestNG, RestAssured). Collaborate with development and QA to create test plans, execute suites, analyze results, report defects, troubleshoot failures, and improve automation strategy and CI/CD pipelines.

Validate and book loan origination and syndication fees for syndicated and retail lending deals. Prepare fee write-ups, templates, and metric reports; reconcile outstanding fees; coordinate with Financial Controllers, business stakeholders, and middle office to ensure accurate fee recognition and timely processing.

Design, implement, test, and maintain Java/Spring microservices. Participate in code reviews, CI/CD, troubleshooting, and documentation. Use enterprise AI-assisted tooling responsibly and collaborate with product partners in an agile team.

Designs and delivers secure, scalable front-end and application solutions. Writes production-quality C#/.NET code (WPF and web UI), architects complex applications, troubleshoots, analyzes data for improvements, and supports CI/CD, resiliency, and cloud-native operations within agile teams.

Support the US Convertible Bond trading desk by maintaining P&L and risk integrity, resolving trade breaks and disputes, processing corporate actions, managing instrument reference data, generating daily trading reports, and assisting with client onboarding and remediation under tight timelines.

Build secure, scalable AI/ML platforms and applications to productionize research. Collaborate with AI researchers and data scientists, implement CI/CD and IaC, support experimentation environments, automate remediation, mentor junior engineers, and promote secure, responsible AI development practices.

Partner with Finance and Operations leaders to manage budgeting, forecasting, expense management, and financial analysis. Produce executive-level reporting, presentations, dashboards, and insights. Monitor performance, identify risks and opportunities, support cross-functional projects, coordinate governance/audit activities, and drive process improvement via automation, analytics, and AI-enabled tools to support senior leadership decision-making.

Support trading desks with trade bookings, exception management, and trade oversight. Liaise with stakeholders, drive process improvements, ensure controls, resolve queries, and contribute to strategic initiatives across operations and technology.

Lead and mentor SRE teams to design and operate highly reliable cloud platforms. Drive resiliency reviews, incident leadership, SLO/SLI definition, observability, CI/CD and container practices, and adopt enterprise-authorized AI to accelerate incident triage while ensuring security, auditability, and guardrails.

Contribute to Payments Technology by designing, developing, and troubleshooting secure, stable software components. Write high-quality code, use SDLC toolchains and CI/CD, analyze large data sets, apply enterprise-authorized AI coding tools, and collaborate in agile teams to improve automation and application resiliency.