Vice President, AI/ML Model Development – Risk Analytics

Morgan Stanley

Actively hiring
750 Seventh Ave- Ny, US Posted 50 days ago $120,000–$205,000 / year
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At a glance

AI generated

TL;DR

Morgan Stanley's Firm Risk Management Division seeks a Senior AI/ML Model Developer (Vice President) to join its Risk Analytics area, focusing on developing Python-based AI applications for risk management. This role involves managing and mentoring a small team while leading the creation of NLP pipelines, LLM tools, and other machine learning models used in daily operations. The ideal candidate will apply software engineering best practices to ensure efficient and reliable solutions, contribute to model design, and deploy these systems to production environments. Key requirements include 5+ years of experience in financial services or risk management with a strong background in Python programming, Git-based version control, and an understanding of quantitative risk models. The position offers the opportunity to collaborate globally across Risk Analytics, Technology, and Strats teams within a dynamic investment banking environment.

Skills

Python Git GitHub CI/CD NLP LLM Machine Learning Risk Management Financial Services Version Control Code Reviews Unit Testing Docker Kubernetes AWS PostgreSQL SQL

What you'll do

  • Lead development of Python-based AI applications for Risk Management workflows.
  • Design and implement efficient NLP pipelines and LLM tools in production environments.
  • Mentor a small development team and provide technical direction on projects.
  • Ensure solutions are technically sound by contributing to model and system design.
  • Write clean, well-tested Python code following standard software engineering practices.
  • Manage relationships with Risk Management stakeholders to understand requirements.

What we're looking for

  • Over 5 years of experience developing AI/ML models in financial services or risk management environments.
  • Graduate degree in a quantitative field such as Computer Science, Mathematics, Engineering, Statistics, or Physics.
  • Proficient Python programmer with expertise in Git-based version control and collaborative coding practices.
  • Experience deploying AI/ML solutions to production environments in financial institutions.
  • Understanding of risk models, financial products, and regulatory analytics (market, credit, stress testing).
  • Strong communication skills for working effectively with both technical and non-technical stakeholders.

Market check

Salary context

This $120,000–$205,000 range sits above 25% of similar postings on FindRole.

Peer median band

$165,500–$240,950

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$165,000–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Morgan Stanley

Morgan Stanley is a global financial services firm providing investment banking, securities, wealth management, and investment management services to corporations, governments, institutions, and individuals. Industry: Investment Banking & Financial Services

Morgan Stanley currently has 35 open roles on FindRole.

Listed pay typically runs $139,500–$165,000 across 34 roles with salary data.

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