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Develops and manages client relationships for a private wealth management team. Advises clients on investment strategies, analyzes investment opportunities and financial needs, supports wealth planning, delivers client presentations, and contributes to business development. The role requires regulatory compliance, active client communication, financial product expertise, and coordination with Financial Advisors to deliver tailored investment and wealth management solutions.

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.

Supports financial advisors and private wealth advisors by delivering exceptional client service, coordinating daily service activities, preparing client reports and financial plans, assisting with account transactions, and executing administrative elements of marketing and business development strategies. The role also helps organize client meetings, tracks follow-ups, supports digital tools, conducts approved research, and provides team leadership and backup coverage.

Provides investor and fund manager support for hedge fund and regulated fund administration clients. Responsibilities include handling investor inquiries, preparing wire instructions and reporting, meeting service-level and month-end deliverables, supporting client onboarding, resolving operational issues, maintaining compliance controls, collaborating with internal teams, and identifying process and system improvements.

Develop and monitor statistical and machine learning models for fraud risk detection. Responsibilities include exploratory data analysis, dataset construction, feature engineering, model training, validation, performance assessment, technical documentation, and model governance. The role addresses imbalanced and evolving fraud data, diagnoses model degradation, and recommends recalibration or redevelopment. It also provides technical guidance to junior data scientists and engineers.

Develop and manage relationships with clients, including agent lenders, corporate treasurers, pension funds, and liquidity providers. Present coordinated client engagement, provide market insights, cross-sell Morgan Stanley services, and communicate client needs and liquidity flows. Collaborate with sales, trading, treasury, operations, technology, legal, finance, securities lending, and client financing teams to optimize firm assets through secured financing transactions.

Provide documentation, governance and portfolio surveillance support for MSIM Japan, drafting IMAs and ITM fund documents, maintaining data integrity, coordinating with internal and offshore stakeholders, managing incidents, and ensuring regulatory compliance for Japanese segregated accounts and funds.

Lead mainframe security engineering for RACF and IBM Z environments. Design, implement, and support authentication, authorization, encryption, privileged access, automation, monitoring, and reporting. Collaborate with architecture, development, operations, and audit teams; deploy solutions, validate designs, perform testing, and provide operational handoff, documentation, and training. Provide SME support for security controls, audits, and continuous improvement.

The Investment Consultant - Relationship Manager develops and maintains client relationships, analyzes investment opportunities, and provides strategic financial advice, ensuring compliance with industry regulations.

Own the end-to-end complaints reporting and analytics lifecycle, including data analysis, KPI and dashboard development, quality assurance, executive reporting, and regulatory presentations. Analyze complex datasets to identify trends, risks, and root causes; improve data governance and reporting controls; and collaborate with global Legal, Compliance, Risk, Data, and Technology teams. Lead automation, AI, and advanced analytics enhancements while providing oversight and direction across locations.