Jobs at Morgan Stanley

The Roadshow Coordinator manages equity products for roadshows, coordinating meetings, logistics, and schedules while ensuring high quality and attention to detail.

The role involves managing financial planning tools, focusing on AI agent development, vendor management, user support, and project management.

The role involves developing mortgage pricing strategies, analyzing market trends, collaborating with various teams, and enhancing analytics to support data-driven decisions.

The Institutional Product Manager will lead product development and delivery for institutional clients, managing due diligence, stakeholder relationships, and compliance with legal standards across investment products.

The SRE Application Support Engineer is responsible for ensuring operational reliability, stability, and optimizing performance of production systems, managing outages, troubleshooting issues, and developing documentation and standards for production applications.

Lead the Knowledge Access Team in managing Confluence and adjacent platforms, optimizing data processes for AI integration, and improving content governance.

The Finance Associate will develop internal communications, collaborate across the Firm, manage communication execution, and support leadership messaging.

The role involves managing financial reporting, ensuring adherence to accounting principles, analyzing regulations, and enhancing processes in Corporate Lending.

Lead Software Engineer responsible for technical leadership, project management, and developing financial software solutions. Focus on Direct Indexing and cloud-native technologies, mentoring developers, and ensuring scalable services.

The Vice President will support institutional client strategy by providing expert knowledge on investment strategies and managing client relationships to drive engagement and retention. Responsibilities include content development, responding to inquiries, supporting sales, and mentoring junior staff.

Lead portfolio governance and program management for Finance transformation and AI initiatives. Drive prioritization, milestone tracking, dependency and risk management, benefits tracking, stakeholder coordination, and executive reporting across 30+ programs to ensure delivery readiness and measurable outcomes.

Assess and manage contractual risks in trading agreements (ISDA, CSA, Prime Brokerage, Repo, Securities Lending); expand and govern structured contract data; partner with Technology, Risk, Credit, and Trading; escalate exposures; drive data quality, automation, and provide actionable recommendations under tight deadlines.

Drive sales of annuity and insurance products by building relationships with Financial Advisors, leading strategic engagements, coaching advisors, partnering with regional teams, executing territory plans, and using CRM tools to increase insured solution adoption and revenue.

Lead technical design, development, and migration of a high-throughput, event-driven performance calculation engine on AWS. Architect scalable distributed systems, enforce data modeling and code quality standards, establish observability and runbooks, drive legacy modernization, lead Agile delivery, mentor engineers, and partner with stakeholders to meet accuracy, latency, and auditability requirements for firm-wide performance reporting.

The role involves enhancing finance processes, providing product KPIs, conducting analyses for growth opportunities, overseeing financial reporting, and collaborating across the firm regarding financial controls and initiatives.

Lead AI solutions development in finance using statistical methods and machine learning. Mentor, implement models, ensure compliance, and collaborate for effective tool integration.

Lead the data product strategy and execution for HR data products using Snowflake, ensuring alignment with business needs and technical standards while fostering a strong product culture and collaboration across teams.

Provide high-level administrative support to a senior Managing Director: manage heavy calendaring and phone coverage, coordinate domestic and international travel, organize events, prepare documents and expense reports, maintain Teams/SharePoint sites, process invoices, support onboarding/offboarding, and provide backup for other administrative assistants.

The Data AI Engineer will develop data infrastructure and pipelines, implement governance, optimize systems, and collaborate with stakeholders to enhance AI capabilities at Morgan Stanley.

Support Equity Derivative Solutions by coordinating client onboarding to the IED platform, managing trade lifecycle execution, driving process and policy adherence, implementing process and technology improvements, assisting project management, and maintaining reporting and metrics while acting as a key internal stakeholder contact.