VP of ML Strategy & Production for Wealth Management

711 MS Smith Barney, LLC

New York (NY)

On-site

USD 115,000 - 190,000

Full time

14 days+

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Job summary

Morgan Stanley’s Machine Learning team within Wealth Management (WM) Strategy & Analytics seeks an experienced data scientist to lead end-to-end ML solutions for strategic business opportunities. You will develop scalable models, run large-scale experiments, and partner with cross-functional teams across Marketing, Product, Risk, and Tech.

Strong communication and leadership are essential. Ideal candidates have a PhD/masters in analytical fields, 8+ years of experience in ML, and hands-on

Qualifications

  • Master’s or Ph.D. preferred in an analytical/technical field such as CS, engineering, math, physics, or stats.
  • Minimum of 8 years of professional experience in data science, ML, AI, analytics, or related field.
  • Strong knowledge of ML methods: modeling, regression, clustering, recommender systems, deep learning, experiments.

Responsibilities

  • Lead end-to-end ML solutions addressing strategic Wealth Management opportunities.
  • Develop scalable modeling solutions and orchestrate experiments (A/B) to drive business growth.
  • Collaborate with stakeholders and cross-functional teams to communicate results and influence decisions.

Skills

Leadership
Communication
Problem-solving
Strategic thinking
ML research

Education

Master’s degree or Ph.D. preferred in analytical/quantitative field

Tools

AWS
Azure
Google Cloud
GitHub
MLflow
PyTorch
TensorFlow

Job description

Morgan Stanley’s Machine Learning team within Wealth Management (WM) Strategy & Analytics seeks an experienced data scientist to lead end-to-end ML solutions for strategic business opportunities. You will develop scalable models, run large-scale experiments, and partner with cross-functional teams across Marketing, Product, Risk, and Tech.

Strong communication and leadership are essential. Ideal candidates have a PhD/masters in analytical fields, 8+ years of experience in ML, and hands-on

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