Machine Learning & Workplace Analytics, WM Administration, Vice President, Wealth Management
Core
Designing and deploying end-to-end machine learning solutions and Generative AI use cases to drive growth and data-driven decision-making for Morgan Stanley's Wealth Management business lines.
Role type
Vice President, Machine Learning & Gen AI (Player-Coach)
Builds
Production ML models, Gen AI applications, and executive reporting/insights for Wealth Management clients.
Domain
Financial Services / Wealth Management
Deliverable
production ML models | product features
Required skills
End-to-end ML solution design, SOTA algorithm development, model risk validation, MLOps deployment, A/B testing, LLM application, Python/C++ proficiency, OOP and algorithmic design
Preferred skills
Cloud/Big Data (Azure/AWS/Hadoop), Deep Learning frameworks (PyTorch/TensorFlow), Graphical Neural Networks, Reinforcement Learning, Peer-reviewed publications
Technologies
Python, C++, Github, Bitbucket, ML Flow, Azure, AWS, Google Cloud, Hadoop, PyTorch, Tensorflow
Responsibilities
Design and develop end-to-end machine learning solutions; Experiment with State-of-the-Art algorithms; Partner with model risk stakeholders for validation; Deploy models in production and monitor performance; Plan and conduct A/B tests; Build partnerships with business and compliance stakeholders; Manage and coach associates
Seniority
Vice President, strategic leadership with hands-on technical execution