Senior ML Strategy Lead, Wealth Management

Morgan Stanley; Town/Village of Harrison (NY); Vor Ort; USD 85.000 - 140.000; Vollzeit

Zusammenfassung

Morgan Stanley’s Machine Learning team in the Wealth Management Strategy & Analytics division develops end-to-end ML solutions for wealth management, delivering tangible business outcomes across client channels.

We build and validate models, deploy in production with MLOps, run A/B tests, and present results to stakeholders. Candidates typically hold a Master’s or PhD in a quantitative field, have 3+ years of ML experience, strong Python or C++, and experience communicating with business teams.

Qualifikationen

• Master’s or PhD in CS/Engineering/Math/Physics or related quantitative field.
• 3+ years of professional ML experience.
• Breadth and depth in ML algorithms (classification, regression, recommender systems, clustering, deep learning).
• Proficiency in Python or C++, or similar language.
• Experience with version control and experiment tracking tools.

Aufgaben

• Design and develop end-to-end machine learning solutions to address business opportunities in Wealth Management, delivering tangible business outcomes.
• Strive to develop and experiment with State-of-the-Art algorithms.
• Validate the machine learning models in collaboration with the validation team to ensure the accuracy and reliability of ML models.
• Deploy the machine learning models in production environments, in collaboration with the MLOps team, and monitor their performance.
• Conduct A/B tests to demonstrate efficacy of ML solutions.
• Participate in code reviews from both sides of the process.
• Build, grow, and establish partnerships with business stakeholders, marketing as well as with our Risk, Legal, and Compliance divisions.
• Create presentations to effectively showcase modelling results to stakeholders and the team.

Kenntnisse

Machine Learning

Python

C++

Communication with stakeholders

English proficiency

Ausbildung

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

Tools

Github

Bitbucket

MLflow

Jobbeschreibung

Morgan Stanley’s Machine Learning team in the Wealth Management Strategy & Analytics division develops end-to-end ML solutions for wealth management, delivering tangible business outcomes across client channels.

We build and validate models, deploy in production with MLOps, run A/B tests, and present results to stakeholders. Candidates typically hold a Master’s or PhD in a quantitative field, have 3+ years of ML experience, strong Python or C++, and experience communicating with business teams.