Jobs at JPMorganChase

Design, develop, and troubleshoot secure, high-quality production code; improve operational stability via automation; lead technical evaluations and communities of practice; use enterprise AI-assisted development tools responsibly; and apply SDLC, CI/CD, resiliency, and security best practices.

Lead end-to-end delivery of third-party oversight programs across 14 APAC markets, designing and implementing processes, managing stakeholders, driving regulatory compliance, performing data and process analysis, and delivering executive-ready reporting to strengthen third-party risk governance and controls.

Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.

Design, develop, test, and maintain secure, scalable cloud platform services. Produce high-quality production code, architecture artifacts, and data-driven insights. Use enterprise AI-assisted development tools responsibly, participate in CI/CD and resiliency practices, and troubleshoot complex production issues to ensure operational stability.

Develop and productionize quantitative models and systematic trading strategies for prime services. Build portfolio optimization and automation tools, conduct scenario and performance analysis, and deliver production-quality analytics and governance supporting trading, risk, and financing decisions.

Lead design, build, and support Python-based real-time risk and PnL services for Rates trading. Ensure performance, correctness, resiliency, CI/CD, observability, production support, and collaboration with traders, quants, DevOps, and platform teams. Drive adoption and safe use of enterprise AI-assisted engineering practices.

Participate in a two-day Code for Good hackathon and summer software engineering internship: collaborate on agile teams to build end-to-end tech solutions for nonprofits, develop skills via mentorship and training, own project deliverables, and engage with recruiters for potential 2027 early-career opportunities.

Lead quantitative research and systematic trading efforts for Prime Financial Services. Build models, analytics, and production infrastructure to optimize inventory, collateral, financing, hedging, and execution. Drive research-to-production lifecycle, monitoring, controls, performance attribution, and partner directly with trading, technology, and risk to deliver actionable, production-quality solutions.

Lead design, build, and operate cloud-native platform capabilities; write and review secure production code; drive AI-assisted engineering adoption; ensure operational stability, CI/CD, and mentor engineers while owning end-to-end delivery.

Partner with ASEAN Payments senior leaders to drive strategic initiatives, financial planning, governance, and performance. Produce management presentations, perform variance and revenue-driver analysis, support regulatory requests, coordinate forecasts and business analytics, manage cross-functional projects, and support risk, controls, and Payments Management team needs.

Support business management for Wholesale KYC Operations: drive initiatives (outsourcing, resiliency, headcount), produce management reporting and presentations, coordinate communications and team activities, support process improvements and documentation, and build cross‑functional partnerships.

Drive new business and manage client relationships for payments and FX products. Develop upsell/cross-sell opportunities, collaborate with sales, marketing, and product teams to create tailored solutions, prepare sales materials and RFP support, and report on client activity and market trends to grow product P&L.

Manage project finance account bank mandates for APAC, partnering with origination, legal, and sales teams. Lead deal structuring, contract negotiation, account setup, and client service. Ensure compliance with policies, implement account structures, support retention and new business, and oversee payments, administration, and risk for project finance portfolios.

Lead a full-stack agile team to design, build, test, and operate secure, scalable frontend (React) and backend (Node.js/TypeScript, Python) services. Own technical delivery, engage stakeholders, drive AI-assisted engineering practices, improve automation and operational stability, maintain documentation and runbooks, and mentor junior engineers.

Act as primary contact for exchanges and market-data vendors, support licensing, ensure compliant data usage, coordinate audits, translate contract terms into operational requirements, and collaborate with technology, legal, and sourcing teams to maintain licensing coverage.

Lead and execute risk management and compliance audits across Global and APAC corporate functions. Plan data-driven audit activities, analyze risks, report findings, recommend improvements, and collaborate with stakeholders to strengthen controls and regulatory compliance.

Lead end-to-end product strategy, roadmap, and commercialization for Kinexys Payments. Partner with Legal, Compliance, Technology, Operations and Sales to prioritize features, assess feasibility, drive go-to-market, and optimize client servicing while monitoring market and regulatory trends.

Conduct threat hunting, security research, and intelligence analysis; build AI-powered threat research systems; analyze large datasets; validate AI-assisted findings and advise cross-functional teams to improve security posture.

Designs and delivers data architecture solutions, creates secure production code, evaluates technologies, guides architecture governance, and applies AI-assisted practices to improve data frameworks, resiliency, and security.

Design, build, and support Python-based real-time risk and PnL systems for Rates trading. Deliver production-grade, high-performance services, participate in incident management, improve CI/CD and observability, collaborate with traders/quants, reduce technical debt, and drive adoption of enterprise-authorized AI-assisted engineering practices while ensuring secure, validated development.