Jobs at JPMorganChase

Lead a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Design, build, and maintain secure, scalable employee-facing software and AI-enabled tooling. Lead implementation of AI-assisted engineering practices, collaborate cross-functionally, apply CI/CD and cloud-native patterns (preferably AWS), and ensure resiliency, security, and validation standards across the SDLC.

Lead technology and cyber risk management for the bank's 2nd Line, advising on regulatory requirements (resiliency, outsourcing, privacy, AI, cloud), reviewing impacts and significant security events, applying data analytics to assess controls, and partnering with stakeholders to embed compliant, risk-mitigating practices.

Lead a product-aligned engineering organization to build and operate a cloud-native Talent Performance platform. Own technology direction, architecture modernization, integrations, delivery, reliability, security, and governance. Manage multiple cross-functional teams, vendor relationships, and stakeholder alignment. Drive adoption of AI-assisted engineering with appropriate controls while ensuring production readiness, observability, cost governance, and measurable engineering KPIs.

Monitor and analyse trading, sales and electronic/telephone communications for the Corporate Investment Bank and Wealth Management businesses. Review trade surveillance alerts for market manipulation and insider dealing, perform non-alerting reviews and ad hoc searches, engage with compliance and technology stakeholders, collaborate on program improvements, and contribute to ad hoc projects.

Lead development of secure, scalable HR/talent-management backend systems on AWS. Design, code, review, and troubleshoot production software; build IaC and data models; drive CI/CD, resiliency, automation, and responsible AI-assisted engineering adoption; lead vendor evaluations and engineering communities of practice.

Design and deliver tailored participant education and communications for corporate stock-plan clients. Translate client objectives into content plans, produce participant-facing materials, run webinars/seminars, manage content lifecycle and version control, coordinate internal stakeholders, and measure engagement to improve outcomes and drive advisor lead generation.

Lead marketing analytics for Workplace Solutions: define measurement frameworks, analyze participant and campaign data, build segmentation, run experimentation, create executive dashboards, improve data governance and accessibility, and enable cross-functional teams to drive engagement and conversion.

Lead and execute compliance and operational risk testing: plan and run control tests, identify coverage gaps, verify control design and implementation, coordinate cross-functional activities, drive remediation, and improve control evaluation methods and metrics.

Design, build, and maintain reusable templates, components, and QA practices for lifecycle communications (email, in-portal messaging, microsites). Translate complex financial concepts into accessible, brand-consistent journeys; prototype, demo, and enable go-to-market; partner with Product, Engineering, and channel owners to ensure end-to-end integration and continuous optimization.

Lead design and delivery of secure, scalable production software. Provide technical guidance, develop and review code, champion AI-assisted engineering practices and SDLC governance, and promote reusable automation and cloud-native solutions across teams.

Lead reliability and observability for customer-facing digital banking services. Define SLOs/SLIs, reduce operational toil via automation and self-healing, drive performance engineering and capacity planning, set SRE standards, mentor engineers, and integrate responsible AI-assisted engineering practices to improve code quality, incident analysis, and operational outcomes.

Lead multiple engineering teams to design and deliver secure, scalable AI-enabled developer experiences and employee platform capabilities. Drive execution, remove delivery obstacles, ensure compliance and responsible AI adoption, write and review production code, produce architecture artifacts, coordinate cross-team dependencies, manage stakeholders, and improve developer experience through automation and governance.

Lead end-to-end Investor Relations service delivery for Alternative Funds, managing ~40 FTE across Dublin and New York. Ensure timely, accurate, controlled production (reporting, statements, settlements, reconciliations, query resolution), strengthen risk and control frameworks, define target operating model, and drive transformation with Product and Technology including AI-enabled automation and continuous improvement. Coach leaders, own KPIs/OKRs, and deliver scalable, client-centric operations.

Lead the Cloud Foundations product team to define roadmap, drive product lifecycle, and increase adoption of cloud enablement products. Coach and mentor product teams, influence cross-functional stakeholders, manage risks and performance, and identify market opportunities to achieve business targets and developer adoption.

Lead and execute compliance and operational risk testing, identify control gaps, validate control design and implementation (including BCBS 239 data lineage/model testing), collaborate across teams, drive remediation, and improve control evaluation methods and testing metrics.

Lead delivery of investor relations services for alternative investment clients, manage investor transactions (subscriptions, redemptions, capital calls), cash management, reporting, query resolution, quality reviews, and client communications while improving processes and ensuring audit readiness.

Lead architecture and deliver cloud-native workplace solutions, engage stakeholders, define target-state architectures, integrate enterprise AI safely, produce and review secure production code, drive resiliency and automation, and evaluate vendor technologies.

Lead global testing delivery for ETF servicing platform enhancements and client onboarding. Define test strategy, manage UAT with clients, coordinate QA across Product/Technology/Operations, report status and risks, drive process improvements, and develop subject-matter expertise in ETF servicing and lifecycle.

Build and enhance full-stack, cloud-native applications focused on Java, integrating LLM/generative AI and IoT device data. Design and deliver microservices, ensure operational stability, troubleshoot production issues, create architecture artifacts, analyze large datasets, and integrate smart-building and edge computing solutions to improve user experiences and efficiency.