Machine Learning, Assistant Vice President

Morgan Stanley UK

Jersey City, United States
Base: 85,000 - 140,000 yr; bonus/equity: annual di...
Applied ai research
Machine learning solutions
State-of-the-art algorithms
The Machine Learning team in Wealth Management (WM) Strategy & Analytics at Morgan Stanley works on applied AI research including recommender systems, client personalization, GNNs, and LLMs, providing ML solutions across client channels and product organizations

Job Summary

  • The Machine Learning team in Wealth Management (WM) Strategy & Analytics at Morgan Stanley works on applied AI research including recommender systems, client personalization, GNNs, and LLMs, providing ML solutions across client channels and product organizations.
  • Responsibilities include designing and developing end-to-end ML solutions, experimenting with state-of-the-art algorithms, validating models, deploying them in production, and conducting A/B tests.
  • Morgan Stanley is committed to maintaining a diverse workforce, offering comprehensive employee benefits, and providing opportunities for growth within an environment that values collaboration and innovation.

Matching Summary

The Machine Learning team in Wealth Management (WM) Strategy & Analytics at Morgan Stanley works on applied AI research including recommender systems, client personalization, GNNs, and LLMs, providing ML solutions across client channels and product organizations.

Salary

Base: 85,000 - 140,000 Yr; Bonus/Equity: Annual discretionary incentive compensation award; Benefits: Full spectrum of benefits including Medical, Dental, Vision, 401(k), Paid Time Off

Skills & Requirements

Must-have

  • Applied AI research
  • Machine learning solutions
  • State-of-the-Art algorithms
  • Python programming language
  • Code versioning systems
  • Object-oriented design

Nice-to-have

  • Client personalization
  • Graphical neural networks
  • Natural language understanding
  • Cloud or Big Data technologies
  • Deep Learning frameworks
  • Publishing in peer-reviewed journals

Key Requirements

  • Master’s or PhD degree
  • 3 years of professional experience in Machine Learning
  • Proficiency in applied ML research
  • Experience with code versioning systems
  • Experience communicating with business stakeholders

Work Rights

Not specified

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