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AssociateRole: Machine Learning (ML) Strategy
Team Profile:
Machine Learning Research at Morgan Stanley is responsible for working with business units and technology teams across the firm to solve mission-critical problems. We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.
Position Description:
In addition to R&D for projects across business units, the Machine Learning Research Team acts as a central repository of institutional ML knowledge and is responsible for Firmwide ML coordination. The team is seeking someone with a background in industry data science / machine learning to join the outreach branch to assist with the development and implementation of Firmwide ML Strategy. You will work across business and technology teams, gathering requirements and assisting with development of ML projects by domain experts. This is a small team where you will have the opportunity to play many different roles, utilizing both technical and interpersonal skills. Successful candidates for this role will have strategic vision and desire to help shape ML efforts across the firm.
Primary Responsibilities:
* Work with ML practitioners across the organization to understand use cases and technologies, connecting the dots between them
* Organize and implement initiatives to further ML at the Firm (i.e working groups, tooling, vendor product searches)
* Identify opportunities for enhancements for the Firms ML community
* Conduct analysis of vendor and open source solutions, including setting up meetings with vendors, stakeholders, and pushing agendas forward
* Coordinate between different teams with different priorities to implement changes that can be felt broadly
Team Profile:
Machine Learning Research at Morgan Stanley is responsible for working with business units and technology teams across the firm to solve mission-critical problems. We are a highly motivated and collaborative team of scientists, technologists, and market practitioners.
Position Description:
In addition to R&D for projects across business units, the Machine Learning Research Team acts as a central repository of institutional ML knowledge and is responsible for Firmwide ML coordination. The team is seeking someone with a background in industry data science / machine learning to join the outreach branch to assist with the development and implementation of Firmwide ML Strategy. You will work across business and technology teams, gathering requirements and assisting with development of ML projects by domain experts. This is a small team where you will have the opportunity to play many different roles, utilizing both technical and interpersonal skills. Successful candidates for this role will have strategic vision and desire to help shape ML efforts across the firm.
Primary Responsibilities:
* Work with ML practitioners across the organization to understand use cases and technologies, connecting the dots between them
* Organize and implement initiatives to further ML at the Firm (i.e working groups, tooling, vendor product searches)
* Identify opportunities for enhancements for the Firms ML community
* Conduct analysis of vendor and open source solutions, including setting up meetings with vendors, stakeholders, and pushing agendas forward
* Coordinate between different teams with different priorities to implement changes that can be felt broadly
About the Company
Morgan Stanley
New York City, NY, United States
Morgan Stanley OverviewMorgan Stanley is a leading global financial services firm providing investment banking, securities, wealth management and... Read more