Jobs at Morgan Stanley

Manage governance and risk across electronic trading in equities and fixed income. Analyze trading algorithms, controls, testing methods, operational risk events, limits, and KRIs/KPIs. Monitor intraday risk, escalate issues, collaborate with trading, quantitative, compliance, technology, and operations teams, and communicate risks to senior management and governance committees.

Lead strategic initiatives to simplify and modernize Wealth Management Finance processes, data, reporting, and systems. Manage projects, drive requirements, testing and readiness, partner with Technology and business leaders, leverage analytics and AI, assess new business opportunities, mitigate risks, and deliver executive communications while fostering continuous improvement and stakeholder alignment across the Wealth Management Finance organization.

Supports in-house management consulting engagements across institutional securities, including strategic program management, transformation, operational improvement, regulatory remediation, readiness planning, risk monitoring, governance, and management reporting. Coordinates business, technology, operations, finance, risk, and external stakeholders; tracks budgets, staffing, engagement economics, and performance metrics; develops senior-management presentations; and helps resolve issues and implement sustainable process improvements.

Deploy and govern generative AI use cases across the firm, establishing risk-based frameworks, policies, and controls. Coordinate with business units, technology teams, legal, compliance, risk, audit, and other stakeholders to ensure regulatory and policy alignment. Track project progress, manage risks and dependencies, support agentic AI implementations, and facilitate cross-functional delivery throughout the AI deployment lifecycle.

Leads Insurance and Annuity Services operations programs and projects across business, technology, and operations teams. Responsibilities include prioritizing initiatives, improving platforms and processes, coordinating global stakeholders, managing budgets, risks, dependencies, timelines, testing, and delivery, and implementing standards and best practices. The role requires executive communication, analytical problem solving, change leadership, and oversight of operational risk and control activities.

Supports Net New Assets reporting, forecasting, data validation, and insights for Morgan Stanley Wealth Management. Responsibilities include distributing recurring management reports, consolidating reporting across global teams, analyzing trends and competitor flows, reconciling data, validating outputs, and developing actionable recommendations. The role partners with stakeholders across multiple regions and supports Private Markets analytics and additional predictive use cases.

The role involves developing models for ETF market making, backtesting trading strategies, and collaborating with the ETF trading desk on data and analytics.

Leads product execution, engineering enablement, and adoption for Morgan Stanley’s enterprise DevGen.AI platform. Connects customer demand with platform capabilities, reusable agents, governance, engineering, and business stakeholders. Drives AI use cases from experimentation through production using prototypes, reference implementations, lifecycle gates, responsible AI controls, InnerSource practices, documentation, and community enablement. Tracks adoption, productivity, contribution, ROI, and platform impact while guiding cross-functional teams and senior stakeholders.

Support preparation, analysis and SEC filing of the Firm's consolidated 10-K and 10-Q. Compile and draft disclosure sections, coordinate with Treasury, Risk, Legal and senior management, perform US GAAP and SEC research, and drive process improvements and automation for accurate regulatory reporting.

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.

Lead product initiatives for the EquityZen platform: define specs, manage execution, run UAT and A/B tests, collaborate with design, engineering, and stakeholders, produce API and integration documentation, analyze qualitative and quantitative data to iterate product roadmaps.

Lead implementation and ownership of electronic trading risk controls, monitor trading activity in real time, analyze large datasets and system logs to diagnose issues, manage T+1 reporting controls, support algorithm and product development, run cross-functional projects, respond to regulatory/litigation inquiries, and mentor junior team members.

Negotiate, draft, and execute trading agreements for institutional clients, including ISDA, securities lending, prime brokerage, derivatives, clearing, and confidentiality agreements. Serve as the primary client and counsel contact, collaborate with Sales, Trading, Legal, Risk, Credit, and Onboarding teams, and advise clients on industry rules and regulations. The role requires substantial trading documentation experience, legal expertise, contract drafting skills, and a J.D.

Support Wealth Management data migration and Snowflake modernization by translating business needs into requirements and user stories, tracking delivery, documenting data lineage and quality, building dashboards and status materials, preparing executive updates, and driving adoption through training and process improvements across business, analytics, engineering, and governance teams.

Lead brand strategy and performance marketing for Morgan Stanley Private Markets. Own paid media, lifecycle automation, reporting, experimentation, budget management, and team leadership while ensuring compliant marketing operations and driving acquisition and engagement across channels.

Lead and execute audits and assurance activities across Operational Risk and Enterprise Non-Financial Risk. Identify and assess risks and control gaps, develop audit findings, facilitate stakeholder conversations, and manage multiple deliverables while supporting continuous monitoring, closure verification, and team development.

The role involves developing a Java and Python platform for exotic pricing, automating derivative product flows, and ensuring robust data pipelines.

Support leveraged finance underwriting, marketing, and execution for leveraged loans, high-yield bonds, and private credit transactions. Prepare financial analyses, pitches, presentations, and underwriting memos; coordinate investor outreach, roadshows, feedback tracking, data rooms, and deal allocations. Collaborate with corporate and sponsor clients, investment banking, sales and trading, and investors while managing deadlines and delivering accurate, high-quality work.

Provide day-to-day investor services and act as primary contact for fund managers and investors. Open and maintain investor accounts, process subscriptions/redemptions and cash movements, produce MIS and operational reports, handle queries and escalations, perform second-level reviews, ensure compliance with offering documentation, AML and statutory regulations, mentor team members, and participate in IT/operational projects (specification, testing, implementation).

Leads documentation support for private fund administration clients. Drafts, reviews, and negotiates administration agreements; evaluates offering, organizational, and subscription documents; manages documentation workflows and technology initiatives; coordinates legal issues involving AML, FINRA, ERISA, pledges, and transfers; and engages with clients, counsel, investors, and global internal teams. The role also develops training, maintains policy resources, and ensures accurate implementation of regulatory and document updates.