Jobs at JPMorganChase

Senior role covering billionaire and ultra-high-net-worth families in Singapore, originating and deepening PB and IB relationships, leveraging firmwide product partners, supervising and mentoring junior bankers, and delivering strategic, cross-line solutions including financing and private deals.

Provide high-touch executive support to 3-5 senior M&A leaders: manage complex global calendars, coordinate meetings and events, arrange domestic and international travel, process expenses, support onboarding/offboarding, draft communications, maintain documents, and improve team processes. Must exercise discretion, anticipate needs, and deliver accurate materials under tight deadlines.

Develop secure, scalable software solutions using Java and Python within an agile engineering team. Design architectures, write and maintain production code, troubleshoot systems, analyze large datasets, and improve application reliability and coding practices. Use enterprise-authorized AI development tools responsibly for coding, testing, troubleshooting, and documentation. Required experience includes AWS, PostgreSQL, SQL, software development lifecycle practices, CI/CD, resiliency, and security.

Design, develop, test, and maintain secure, scalable Java/React applications; produce architecture artifacts; use AI-assisted coding tools responsibly; troubleshoot, optimize, and analyze large data sets to improve application resiliency and operational stability.

The posting only provides an event title and the employer’s general company, diversity, and equal opportunity information. No specific job responsibilities or qualifications are described.

Manage and coordinate end-to-end eDiscovery lifecycle: preservation, collection, review, and production of ESI. Liaise with internal attorneys, IT, vendors, and outside counsel; oversee project milestones, chain-of-custody, documentation, and process improvements to meet SLAs.

Manage daily securities reconciliations across markets and legal entities, investigate and resolve breaks, perform root-cause analysis, and ensure regulatory and audit compliance. Partner with front office, custody, technology, and operations teams to improve data quality, automate processes, reduce manual work, and enhance straight-through processing. Communicate operational risks to senior management and support business continuity planning.

Build and maintain enterprise full-stack applications for Internal Audit using Java, Python, Spring, REST microservices, React, CI/CD, containers, and AWS. Responsibilities include designing services, deploying cloud-native applications, conducting code and design reviews, improving security and resiliency, supporting monitoring and incident response, and using AI-assisted development tools responsibly. The role also contributes to Scrum ceremonies, automation, operational readiness, and potentially LLM-based or AI agent capabilities.

Design and build scalable data pipelines, databases, and analytics infrastructure to support private investment portfolio monitoring, reporting, and risk oversight. Establish data governance, validation, reconciliation, and quality controls. Leverage automation, AI-enabled solutions, and advanced analytics to improve reporting and risk management. Partner with investment, risk, and technology teams to translate business needs into scalable solutions and evaluate emerging technologies to enhance the data ecosystem.

Leads software engineering within a payment technology team, designing, developing, testing, troubleshooting, and operating secure, scalable Java applications. Builds agent-based systems and integrates LLMs, promotes AI-assisted engineering practices, reviews code, improves automation and resiliency, and guides architectural evaluations. Requires expertise in Spring, REST APIs, microservices, databases, CI/CD, cloud-native development, agile methods, application security, and financial services technology.

Design, build, and operate secure, scalable cloud-native systems and migrate legacy/big-data apps to AWS. Lead engineering practices, apply AI-assisted development, develop production code, validate SDLC automation, and coach teams on responsible AI and operational excellence.

Develops secure, scalable Java and React applications within an agile team. Responsibilities include software design, coding, debugging, testing, architecture documentation, operational stability, data analysis, and technical troubleshooting. The engineer uses enterprise-authorized AI-assisted development tools responsibly, validates generated outputs, improves automation and coding practices, and contributes to resilient, secure production systems.

Develops and maintains secure, scalable software solutions within an agile banking technology team. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, production stability, and analysis of large datasets. Uses enterprise-authorized AI coding tools responsibly for code generation, refactoring, testing, and documentation, validating outputs for correctness and security. Collaborates on CI/CD, resiliency, and secure software development practices while identifying technical and data-driven improvements.

Lead engineering of scalable Databricks feature engineering and data pipelines, implement ensemble-based unsupervised anomaly detection, drive AI-assisted engineering adoption, ensure secure, production-quality code and operational stability, automate remediation, and evaluate vendor/architectural solutions across teams.

Lead a technical area delivering end-to-end software solutions for Data & Wealth Management. Drive AI-enabled engineering, SDLC/TLM automation, cloud-native implementations, governance, reuse, cross-team influence, and talent development to improve speed, quality, and operational outcomes.

Lead design and delivery of agentic control systems for Controls Room: build multi-agent architectures, orchestration, tool/data integrations, LLM behavior shaping, validation, observability, governance, and lead a delivery team to operationalize agentic solutions in a governed environment.

Serve as Taiwan Location Risk Manager and Investment Risk Manager for APAC Asset Management Risk. Responsibilities include overseeing location governance, regulatory compliance, examinations, investment strategies, portfolio risk, stress testing, scenario analysis, risk reporting, governance committees, and senior stakeholder engagement. The role also advances risk analytics, automation, data capabilities, and AI-enabled risk management.

Leads software engineering for secure, scalable financial technology applications. Responsibilities include designing, developing, testing, reviewing, debugging, and troubleshooting production code; improving automation, continuous delivery, and operational stability; implementing AI-assisted engineering practices; and evaluating vendor and internal architectural solutions. Requires Python, AWS cloud, software development lifecycle, data or machine-learning pipelines, and technical leadership experience, with preferred expertise in Terraform, Kubernetes, Docker, Kafka, MLOps, and LLMOps.

Lead full‑stack development using .NET and React: design, build, test, deploy scalable services and UIs, implement AWS cloud-native solutions and Terraform IaC, support CI/CD, observability, secure coding, and drive adoption of enterprise AI-assisted engineering practices.

Configure, monitor, maintain, and optimize applications and infrastructure for availability, reliability, and scalability. Design automated CI/CD and infrastructure-as-code solutions, use observability and SLO/SLI practices, support disaster recovery and chaos engineering, and lead major incident response, root cause analysis, and blameless postmortems. Apply authorized AI tools to incident triage and reliability analysis while validating recommendations and protecting sensitive operational data.