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Vice President, AI/ML Model Development – Risk Analytics jobs in United States
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Morgan Stanley · 3 days ago

Vice President, AI/ML Model Development – Risk Analytics

Morgan Stanley's Firm Risk Management Division is seeking a Vice President in AI/ML Model Development for their Risk Analytics team. The role involves managing a development team, leading the creation of AI applications for risk management, and collaborating with stakeholders to design effective solutions.
Asset ManagementFinanceFinancial ServicesLending
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H1B Sponsor Likelynote

Responsibilities

Manage and mentor a small development team, providing technical direction and day-to-day support
Lead development of Python-based AI applications, including NLP pipelines, LLM tools, and other machine learning models, used in Risk Management workflows
Apply software engineering techniques to build efficient, reliable, and maintainable solutions
Contribute to model and system design decisions, ensuring the solutions are technically sound and appropriate for Risk Management use cases
Write clean, well-structured, and well-tested Python code
Follow standard development practices such as GitHub-based version control, code reviews, unit testing, and continuous integration
Deploy solutions to production environments, not just development or prototype settings
Own and manage relationships with Risk Management stakeholders to understand requirements and design AI solutions that meet their needs

Qualification

AI/ML model developmentPython programmingRisk management experienceStatistical modelingSoftware engineering techniquesMentoring junior developersGit-based version controlFinancial products knowledgeTeam managementCommunication skills

Required

5+ years of experience developing and deploying AI/ML models in financial services, risk‑management environments, or quantitative analytics teams
Graduate degree in Computer Science, Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline
Strong Python programming skills, including familiarity with Git-based versioning and collaborative coding workflows
Experience developing and deploying AI/ML or analytical solutions in production environments
Understanding of risk models, financial products, or regulatory analytics (market/credit/stress testing)
Strong communication skills and the ability to work with technical and non-technical stakeholders
Manage and mentor a small development team, providing technical direction and day-to-day support
Lead development of Python-based AI applications, including NLP pipelines, LLM tools, and other machine learning models, used in Risk Management workflows
Apply software engineering techniques to build efficient, reliable, and maintainable solutions
Contribute to model and system design decisions, ensuring the solutions are technically sound and appropriate for Risk Management use cases
Write clean, well-structured, and well-tested Python code
Follow standard development practices such as GitHub-based version control, code reviews, unit testing, and continuous integration
Deploy solutions to production environments, not just development or prototype settings
Own and manage relationships with Risk Management stakeholders to understand requirements and design AI solutions that meet their needs

Preferred

Experience managing or mentoring junior developers
Familiarity with financial models or risk analytics frameworks

Benefits

Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs

Company

Morgan Stanley

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Morgan Stanley is a financial services company that offers securities, asset management, and credit services.

H1B Sponsorship

Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)

Funding

Current Stage
Public Company
Total Funding
unknown
1997-02-05IPO

Leadership Team

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James Gorman
Chairman and CEO
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Ted Pick
Chief Executive Officer (CEO)
Company data provided by crunchbase