Senior Machine Learning Lead – Wealth Management

711 MS Smith Barney, LLC; New York (NY); On-site; USD 85,000 - 140,000; Full time

Job summary

Morgan Stanley's Machine Learning team in Wealth Management seeks an ML scientist to design and deploy end-to-end models that address business opportunities. You will validate models with the team, deploy in production with MLOps, and run A/B tests while collaborating with risk, legal, and marketing stakeholders.

Ideal candidates hold a Master’s or PhD in a quantitative field and have 3+ years of ML experience, with proficiency in Python or C++, and a track record of communicating results to

Qualifications

• 3+ years of professional experience in Machine Learning.
• Breadth and depth in algorithms: classification, regression, recommender systems, clustering, deep learning.
• Production ML research with commercial applications; English proficiency.

Responsibilities

• Design and develop end-to-end ML solutions addressing business opportunities in Wealth Management.
• Validate models with the validation team and deploy in production with MLOps.
• Conduct A/B tests and present modelling results to stakeholders.
• Collaborate with risk, legal/compliance and business teams; participate in code reviews.

Skills

Python

C++

ML research

Stakeholder communication

Education

Master's or PhD in CS/Engineering/Math/Physics

Tools

GitHub

Bitbucket

MLflow

Job description

Morgan Stanley's Machine Learning team in Wealth Management seeks an ML scientist to design and deploy end-to-end models that address business opportunities. You will validate models with the team, deploy in production with MLOps, and run A/B tests while collaborating with risk, legal, and marketing stakeholders.

Ideal candidates hold a Master’s or PhD in a quantitative field and have 3+ years of ML experience, with proficiency in Python or C++, and a track record of communicating results to