Senior ML Lead — Wealth Management AI & Strategy

PowerToFly; New York (NY); On-site; USD 85,000 - 140,000; Full time

Job summary

Morgan Stanley in New York invites a highly skilled ML researcher to design and deploy end-to-end machine learning solutions for Wealth Management. You will prototype state-of-the-art models, validate them with the validation team, and collaborate with MLOps to monitor production performance.

Ideal candidates hold a Master’s or PhD in a quantitative field with 3+ years of ML experience, proficiency in Python or C++, and strong communication with business stakeholders.

Qualifications

• Master’s or a PhD degree in Computer Science, Engineering, Mathematics, Physics, or an equivalent quantitative field. At least 3 years of professional experience in Machine Learning.
• Breadth and depth in ML algorithms for classification, regression, recommender systems, clustering, deep learning.
• Proficiency in at least one modern language (Python, C++, or related).
• Experience with code versioning systems such as Github, Bitbucket, and experiment tracking systems like MLFlow.
• Proficiency with CS fundamentals in object-oriented design, data structures, and algorithms.
• Experience communicating with business stakeholders.
• Proficiency in English.

Responsibilities

• Design and develop end-to-end machine learning solutions for 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.

Skills

Machine Learning

Python

C++

Git

Education

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

Tools

GitHub

Bitbucket

MLflow

PyTorch

TensorFlow

Job description

Morgan Stanley in New York invites a highly skilled ML researcher to design and deploy end-to-end machine learning solutions for Wealth Management. You will prototype state-of-the-art models, validate them with the validation team, and collaborate with MLOps to monitor production performance.

Ideal candidates hold a Master’s or PhD in a quantitative field with 3+ years of ML experience, proficiency in Python or C++, and strong communication with business stakeholders.