Vice President, Ai/ml Model Development – Risk Analytics
Morgan Stanley
Base: $120,000 to $205,000 py; bonus/equity: commi...
Hybrid
5+ years ai/ml model development experience
Python programming and git version control
Production deployment of ai applications
The role involves managing a small development team to implement Morgan Stanley's AI strategy within the Risk Analytics division
Job Summary
The role involves managing a small development team to implement Morgan Stanley's AI strategy within the Risk Analytics division.
Candidates will lead the creation of Python-based AI applications including NLP pipelines and LLM tools to support risk management workflows.
This hybrid position requires in-office attendance three days per week and offers exposure to quantitative risk models across a global investment bank.
Matching Summary
The role involves managing a small development team to implement Morgan Stanley's AI strategy within the Risk Analytics division.
Salary
Base: $120,000 to $205,000 per year; Bonus/Equity: Commission, incentive compensation, discretionary bonuses, short and long-term packages; Benefits: Comprehensive employee benefits and perks
Skills & Requirements
Must-have
5+ years AI/ML model development experience
Python programming and Git version control
Production deployment of AI applications
Risk management or quantitative analytics background
Mentoring and leading technical teams
Nice-to-have
Experience with financial models and stress testing
Strong communication with non-technical stakeholders
Familiarity with regulatory analytics frameworks
Collaborative global team environment
Inclusive workplace culture commitment
Key Requirements
Graduate degree in Computer Science, Mathematics, Engineering, Statistics, Physics, or related field
5+ years experience developing AI/ML models in financial services
Proven track record of deploying solutions to production environments