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Machine Learning & Workplace Analytics, WM Administration, Vice President, Wealth Management

Morgan StanleyMumbai, Maharashtra, IndiaPosted 18 May 2026

Morgan Stanley is hiring a VP for their Analytics & Data organization in Mumbai to lead machine learning and Gen AI initiatives within the Wealth Management division. The role functions as a player-coach, responsible for building end-to-end ML solutions, operationalizing models, and coordinating with risk and technology partners. Candidates must possess significant experience in ML algorithms, proficiency in Python or C++, and strong stakeholder management skills. This position involves managing associates and driving data-driven decision-making across WM business lines.

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Experience

10-14 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Morgan Stanley is hiring a VP for their Analytics & Data organization in Mumbai to lead machine learning and Gen AI initiatives within the Wealth Management division. The role functions as a player-coach, responsible for building end-to-end ML solutions, operationalizing models, and coordinating with risk and technology partners. Candidates must possess significant experience in ML algorithms, proficiency in Python or C++, and strong stakeholder management skills. This position involves managing associates and driving data-driven decision-making across WM business lines.

TAL's take

Quality 75/1005/5 clarityTier 2 company

High-level VP position at a major global financial institution with clear leadership and technical ownership.

Clear title, explicit team context within Wealth Management, and well-defined machine learning responsibilities.

Salaries at Morgan Stanley

25.1 LPA average

Based on 620 Grapevine salary entries for Morgan Stanley.

View all salaries

Engineering

0 - 2 years | SDE

13 LPA average

Range: 10 - 20 LPA

Engineering

2 - 4 years | P2 Associate

16 LPA average

Range: 6 - 27 LPA

Engineering

4 - 6 years | L2

18 LPA average

Range: 5 - 26 LPA

Engineering

6 - 8 years | P3

24 LPA average

Range: 15 - 35 LPA

Must haves

  • 5+ years professional experience in machine learning
  • Proficiency in Python or C++
  • Knowledge of classification, regression, recommender systems, clustering, and deep learning
  • Experience with code versioning systems and experiment tracking
  • Ability to work in a collaborative style with cross-functional stakeholders
  • Excellent oral and written communication skills

Tools and skills

pythonc++githubbitbucketmlflowmachine learning algorithms

Nice to have: azure, aws, google cloud, hadoop, pytorch, tensorflow, graphical neural networks, reinforcement learning, llms, transformer based models, recommender systems.

About the company

Established global investment bank, though not primarily a technology-first company.

Posts mentioning Morgan Stanley