VP, AI/ML Risk Analytics & Model Development

SupportFinity™; New York (NY); Hybrid; USD 120,000 - 205,000; Full time

Job summary

Morgan Stanley's Firm Risk Management is seeking a Senior AI/ML Model Developer (VP) in Risk Analytics to lead AI initiatives. You will mentor a development team, build Python-based AI applications, including NLP pipelines and LLM tools, and ensure production-ready deployment in a risk-focused environment.

The role requires 5+ years in AI/ML, a quantitative graduate degree, strong Python skills, and effective communication with stakeholders.

Qualifications

• 5+ years of experience developing and deploying AI/ML models in financial services or risk analytics.
• Graduate degree in a quantitative field.
• Strong Python programming skills with Git-based versioning.
• Experience deploying AI/ML solutions in production environments.
• Understanding of risk models or regulatory analytics.
• Strong communication and stakeholder collaboration.

Responsibilities

• Lead a small development team and provide technical direction.
• Develop Python-based AI applications, including NLP pipelines and LLM tools.
• Apply software engineering practices for reliable solutions.
• Contribute to model and system design decisions for risk use cases.
• Write clean, well-tested Python code.
• Implement CI/CD, reviews and version control.
• Deploy solutions to production environments.
• Engage with stakeholders to gather requirements.

Skills

Python

Git workflows

AI/ML model development

Team leadership

Production deployment

Communication skills

Education

Graduate degree in CS/Math/Engineering/Statistics/Physics

Tools

GitHub

Job description

Morgan Stanley's Firm Risk Management is seeking a Senior AI/ML Model Developer (VP) in Risk Analytics to lead AI initiatives. You will mentor a development team, build Python-based AI applications, including NLP pipelines and LLM tools, and ensure production-ready deployment in a risk-focused environment.

The role requires 5+ years in AI/ML, a quantitative graduate degree, strong Python skills, and effective communication with stakeholders.