Jobs at Morgan Stanley

Lead design, implementation, and enhancement of ServiceNow Discovery to ensure accurate infrastructure visibility and CMDB quality. Administer MID Servers, patterns, probes, sensors, credentials, and integrations; troubleshoot discovery failures; develop automation (PowerShell, Python); manage CI/CD with GitHub and Jenkins; collaborate with infrastructure, networking, cloud, and application teams; monitor discovery health and contribute to platform architecture and best practices.

Lead firmwide indirect sourcing for HR benefits, travel, professional services and marketing. Develop category strategies, run complex RFPs, negotiate contracts, collaborate with Finance/Legal/Compliance, manage supplier engagements, and execute Source-to-Pay processes to drive value and mitigate risk.

Lead design, governance, and lifecycle management of enterprise taxonomies and semantic assets for Non-Financial Risk. Drive taxonomy implementation, partner with technology and data teams to operationalize semantic capabilities, enforce change control and quality, represent taxonomy in firmwide groups, and mentor junior staff to enable semantic search, knowledge graphs, and AI-driven analytics.

Delivers procurement and supplier analytics using sourcing and third-party data. Builds dashboards, KPI scorecards, and executive insights with Snowflake and Power BI; supports data transformation, AI enablement, legacy-report migration, UAT, taxonomy maintenance, dataset onboarding, and stakeholder requests. The role requires collaboration across technical and business teams, governed metric-layer experience, complex data analysis, and fluency in French and English.

Lead security assessments and threat modeling across enterprise technology. Conduct security design reviews, identify technical control gaps, provide remediation guidance, and advise stakeholders on risks and secure architecture for infrastructure, endpoints, applications, and cloud environments.

As a Senior Full Stack Agentic AI Developer, you will design and implement scalable solutions, collaborate globally, and leverage GenAI tools to enhance AI development capabilities.

Lead developer enablement to drive adoption of AI-powered coding tools across the firm. Run demos, workshops, and office hours; create reusable examples and guidance; collect developer feedback; define responsible usage and success metrics; partner with platform, risk, tooling, and engineering leaders to remove blockers and promote proven patterns in a regulated enterprise environment.

Design and deploy NLP/ML/GenAI solutions (LLMs, RAG, knowledge graphs) to enhance surveillance and compliance detection. Research novel techniques, build benchmarks, collaborate with Compliance, Legal, Financial Crimes, and IT to operationalize models and automate workflows.

Lead design and delivery of full-stack web applications and microservices for enterprise risk technology. Build UIs, REST APIs, data layers, batch and event-driven processing. Optimize database schemas and SQL on large platforms. Collaborate with agile squads, support testing, deployment, production, and knowledge sharing to ensure resilient, high-performance solutions.

Produce consolidated actual, budget, and forecast reporting for the Infrastructure Finance team. Support finance transformation, streamline FP&A processes, expand reporting, manage project milestones and risks, and identify opportunities to apply AI and automation to planning workflows. Collaborate with global Finance stakeholders, communicate insights clearly, maintain risk and regulatory controls, and work accurately across complex datasets.

Lead design, development, and maintenance of Java/Python services for Securities Reference Data (Indexes/ETFs). Drive ingestion, mastering, distribution, data quality, and governance. Build microservices, event-driven flows (Kafka), and databases; troubleshoot production incidents; partner with stakeholders and global teams to deliver resilient, observable systems.

Lead HR data capability delivery: translate business needs into functional specs and user stories, analyze HR/Workday data, design Workday reports, validate API integrations, triage data issues, and support testing and platform releases to enable workforce insights and AI-supported decisions.

The SRE specialist will enhance system reliability by collaborating with engineering teams, automating processes, troubleshooting issues, and participating in ongoing system reviews and improvements.

Partner with business stakeholders to design, build, and deploy production-grade agentic AI systems using Claude Agent SDK and MCP. Develop orchestration, context/state management, tool integrations, and evaluation frameworks. Embed governance, auditability, and human approvals. Support production through monitoring, observability, scalability planning, and release readiness. Produce reusable frameworks, documentation, and best practices to accelerate firm-wide AI adoption.

Lead design, build, and modernization of scalable commodities trading platforms. Own architecture, mentor engineers, drive DevOps/CI/CD, collaborate with stakeholders, and maintain production reliability across trading lifecycle, risk, market data, and settlements.

Lead development of SDLC platform infrastructure to improve developer productivity across local development, code review, build, test, release, and deployment. Build backend services, IDE integrations, dashboards, automation, and AI-enabled engineering workflows. Scale build/test infrastructure for a large monorepo, investigate complex workflow issues, and partner with global teams to deliver secure, auditable, and reliable developer tooling.

Develop, test, and maintain C++ applications for ultra-low-latency exchange connectivity in a Linux environment. Participate in design reviews, automation and CI/CD, collaborate with team members, and use Python scripting and modern AI tools to improve workflows and software quality.

Design, build and maintain scalable, multithreaded distributed systems for CVA risk management. Partner with traders, quants and users to translate requirements, improve data flows and platform reliability, and deliver end-to-end solutions from analysis through production rollout.

Lead compensation reporting, analytics, and modelling for the global Rewards function. Serve as SME for compensation systems, design dashboards and scenario analyses, support report maintenance and user queries, collaborate with IT and data analytics, assist testing, documentation, training and full compensation lifecycle operations.

Lead Java developer responsible for designing and delivering distributed microservices for FX electronic trading. Drive architecture, promote engineering best practices, adopt AI-enabled productivity tools, collaborate with stakeholders, support production incidents, and continuously improve scalable server-side platforms.