Jobs at Morgan Stanley

Drive growth of electronic Rates sales by interfacing with clients, trading, e-strats and technology. Analyze e-trading performance, build client analytics and dashboards, support onboarding to electronic venues, manage client tiering, and partner on automation and platform enhancements to scale the eRates franchise.

The Equity Research Associate will maintain financial models, write research reports, analyze industry news, and engage with investors.

Serve as portfolio manager for OCIO pension clients, setting asset allocation, selecting managers, and managing risk. Build liability-driven and total-return strategies, conduct asset-liability studies, draft IPS, provide reporting, coordinate operations/custodians, partner with advisors and consultants to win business, and produce institutional content for client/advisor engagement.

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).

Manage client relationships and accounting procedures for hedge funds, ensure compliance with GAAP, oversee monthly closings, and coordinate audits.

Leads client service models and daily business operations for private wealth management teams. Supports Financial Advisors and Private Wealth Advisors with client relationships, reports, financial plans, meetings, communications, and follow-up tracking. Oversees support professionals, hiring, training, performance input, compensation tracking, business-plan execution, process efficiency, and firm initiatives. Requires extensive financial services experience, leadership ability, strong organizational and communication skills, and active securities licenses.

Manage and grow corporate client relationships for Morgan Stanley at Work. Serve as the primary client contact, conduct needs analyses and business reviews, interpret contracts and service commitments, coordinate internal teams to resolve issues, support client retention, deliver demonstrations and training, identify new opportunities, and promote service best practices. The role requires equity or share plan industry experience, financial licenses, strong communication and analytical skills, and up to 25% travel within North America.

Supports private wealth advisors and financial advisor teams with client service, meeting preparation, follow-up tracking, account transactions, digital tool education, financial planning, portfolio reporting, research, and business development activities. Coordinates marketing initiatives, prepares client and prospect materials, participates in meetings, maintains policy knowledge, and supports firm projects. Requires financial services knowledge, strong organization and client service skills, Microsoft Office proficiency, and active Series 7 and Series 66 or Series 63 and Series 65 licenses.

Leads global capital and liquidity regulatory policy development, regulatory horizon scanning, technical interpretation, governance forums, and stakeholder communications. The role supports Basel-based regulatory requirements, identifies emerging risks, advances digital tooling, resolves advisory queries, and manages talent within the Finance organization.

Leads business development and client service support for private wealth management advisors and teams. Builds client and partner relationships, supports financial planning and portfolio proposals, identifies segmentation opportunities, executes digital and in-person marketing activities, prepares client reports, coordinates meetings and follow-ups, improves business efficiencies, and ensures compliance with firm policies. Requires Spanish fluency, extensive financial services experience, securities licenses, and strong knowledge of investment products.

Morgan Stanley’s 16-week paid Return to Work Program in Bengaluru supports experienced professionals returning after at least a two-year career break. Participants receive training, mentorship, and professional development while being placed in business units aligned with their skills, including technology, operations, audit, corporate services, and fund services. The program runs from March through June 2027 and is intended for candidates seeking permanent employment.

Own the strategy, roadmap, delivery, governance, and continuous improvement of a client-facing MFA platform across web and mobile channels. Lead cross-functional teams across engineering, cybersecurity, fraud, risk, compliance, legal, design, analytics, and operations. Manage authentication capabilities, security controls, privacy, client experience, adoption, operational readiness, metrics, and regulatory requirements while reducing fraud and account takeover risk.

Leads and mentors software engineers while designing, developing, and maintaining Java-based services and APIs for direct-indexing portfolio management. Drives architecture, project delivery, testing, code reviews, and process improvements using AWS cloud-native technologies, microservices, distributed systems, and event-driven architecture. Collaborates with technology, business analysis, and investment teams to deliver scalable, resilient solutions in a regulated financial-services environment.

Lead architectural design and modernization for an equity flow derivatives technology ecosystem. Build and maintain Java-based software solutions, collaborate with product owners and business stakeholders, solve complex technical problems, and improve technology platforms. The role requires hands-on development with Java, Java EE, microservices, REST, Spring Boot, reactive and event-driven architectures, databases, messaging, caching, and AI technologies. It also provides technical mentorship and leadership to a developer squad.

Lead regulatory change management for Morgan Stanley’s U.S. Banks by identifying, analyzing, documenting, and communicating regulatory developments. Maintain regulatory inventories, governance oversight, quality reviews, reporting, and stakeholder feedback processes. Partner with Legal, Compliance, Risk, and business teams to implement requirements from banking regulators and agencies, improve operating effectiveness, and ensure high-quality regulatory deliverables.

Directs digital asset sanctions screening controls within a global financial crimes program. Responsibilities include requirements definition, control tuning, data analysis, testing, validation, UAT coordination, roadmap delivery, audit documentation, model risk support, governance reporting, vendor oversight, and cross-functional collaboration across Compliance, Technology, Operations, and vendors.

Morgan Stanley seeks a Machine Learning Researcher to solve critical problems with innovative research. Responsibilities include applying machine learning techniques and strong communication skills within a collaborative team. Ideal candidates have 4+ years of research experience and proficiency in statistical learning methods.

Lead internal audit and assurance activities for Investment Banking and Global Capital Markets, including risk identification, control testing, continuous monitoring, closure verification, reporting, and stakeholder engagement. Analyze data and regulatory requirements to assess control environments, prioritize risks, manage deliverables, and support audit team development.

Develop and support KDB+/q components for Morgan Stanley’s equities e-trading data platform. Responsibilities include real-time data capture, analytics, lifecycle delivery, production support, root-cause analysis, observability, recovery workflows, and query and pipeline optimization. The role collaborates with traders, quantitative strategists, and technology teams in a front-office environment.

Lead backend engineer responsible for building scalable Java and Spring Boot enterprise applications, microservices, REST APIs, messaging integrations, and distributed systems. The role focuses on integrating agentic AI and LLM capabilities into production systems, designing multi-agent workflows, and addressing reliability, observability, latency, and cost concerns. Responsibilities also include performance tuning, SQL development, CI/CD, DevOps, and production support within an institutional securities environment.