Jobs at Morgan Stanley

Leads design, implementation, integration, production support, and lifecycle management for enterprise content management and survey SaaS platforms. Translates business needs into technical solutions, oversees APIs and authentication, resolves production issues, drives service improvements, manages vendors, and mentors engineers. The role requires extensive application development experience, enterprise SaaS expertise, DevOps proficiency, and bilingual French-English communication.

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.

Supports HR data governance and lifecycle management, including retention, archival, protection, disposition, data quality, reference data, metadata, and stewardship. Helps develop policies, standards, and controls; manages governance workstreams; collaborates with business, technology, legal, compliance, and risk stakeholders; resolves data issues; monitors processes; and improves compliance and operational efficiency. The role is hybrid in Montreal and requires French and English proficiency.

Lead Morgan Stanley’s global HR data governance and quality function. Build and manage a high-performing team, establish ownership and control frameworks, improve data quality, and oversee cataloging, lineage, monitoring, documentation, and metadata. Partner with HR product, analytics, engineering, risk, and control teams to embed governance into systems, pipelines, reporting, and AI tools. Define the strategic roadmap, translate technical and policy requirements for varied audiences, and drive scalable improvements across regions.

Design, develop, and maintain enterprise Java applications, RESTful services, database solutions, and Kafka-based event-driven systems. Participate in architecture, code reviews, testing, troubleshooting, and full software development lifecycle activities. Mentor junior developers and contribute to scalable, maintainable solutions for client onboarding and regulatory compliance platforms. The role is hybrid in Montreal and requires French and English proficiency.

Partners with HR, technology, and application stakeholders to define data requirements, analyze data flows and quality, support solution design, coordinate functional and UAT testing, and contribute to data governance, modernization, and system migration initiatives. The role also manages requirements, reconciliations, defect resolution, implementation validation, risks, dependencies, and stakeholder communications for HR data solutions.

Lead the design, development, and maintenance of strategic risk management applications in an Agile/DevOps environment. Develop scalable Java, Spring, and Spark backend solutions; build Angular or React frontends; implement RESTful services; and support testing, deployment, integration, and production operations. Collaborate with product leads, business analysts, end users, and global development teams while driving continuous improvement through automated testing, design patterns, and AI-enabled development tools.

Leads operational oversight and modernization of real-time market data platforms across approximately 200 production hosts. Responsibilities include infrastructure upgrades, migrations, monitoring, observability, automation, production support, troubleshooting, and operational readiness. Develops Python and Shell tooling, agentic workflows, and AI-assisted engineering solutions while collaborating with development, infrastructure, and operations teams to improve platform reliability, resilience, and scalability.

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.

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 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.

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.

Leads enterprise API security engineering, discovery, governance, deployment, adoption, and operational management. Owns the API security roadmap, integrations with CMDB, SDLC, DevSecOps, WAF, and monitoring platforms, and coordinates implementation, risk management, vendor relationships, governance, and audits. Partners with technology and business stakeholders to improve API visibility and threat detection while mentoring analysts and project contributors.

Leads a team responsible for HR data governance, metadata, business glossaries, data catalogs, lineage, and quality management. Establishes governance frameworks, controls, monitoring, SLAs, KPIs, scorecards, and remediation processes across Workday and Beqom data. Partners with HR, technology, analytics, engineering, reporting, risk, and control teams to embed trusted data practices into systems, pipelines, reporting, and AI-enabled capabilities. The role requires bilingual French and English proficiency and is based in hybrid Montreal.

Provides ongoing corporate stock-plan administration and client support through Shareworks. Responsibilities include administering equity awards, processing grants and transactions, preparing reports, reconciling records, responding to inquiries, maintaining event timelines and procedures, supporting compliance audits, and coordinating with clients, advisors, service centers, and internal operations teams.

Lead technical strategy and roadmap for cloud/platform security; architect scalable security data platforms; enforce secure-by-design standards; drive automation of security controls and incident response; ensure reliability, observability, and governance; lead engineering teams and partner with security, product, and platform stakeholders to deliver secure AI and data solutions.

Lead the architecture and development of scalable Java/Spring custody-platform services supporting reconciliation, exception management, and transaction processing. Mentor engineers, translate business requirements into technical solutions, and promote engineering best practices including automated testing, CI/CD, secure coding, and resilient releases. Collaborate with QA, DevOps, production support, product, risk, and compliance teams while evaluating technologies that improve system performance and developer productivity.

Develop and maintain Python automation, CI/CD pipelines, containerized platforms, observability solutions, and GenAI-enabled engineering workflows. Lead software modernization, reduce technical debt, standardize engineering practices, and improve developer productivity and operational efficiency. Collaborate with globally distributed Agile teams to deliver scalable, maintainable technology solutions.

Design and develop secure, scalable full-stack data platforms supporting enterprise data protection and obfuscation. Build database, ETL, API, microservices, dashboard, automation, and AI-driven solutions using Java, Python, Angular, and modern data technologies. Optimize large-scale concurrent processing, Spark pipelines, streaming, replication, and data movement across multiple database platforms. Contribute to modernization, observability, governance, security, and cost-efficiency initiatives.

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.