Credit Rating Analytics – Senior Quantitative Analyst

Morgan Stanley

Hybrid
Degree in quantitative field like finance or math
Strong programming skills in python
Experience with genai, machine learning, or nlp
This role offers the opportunity to understand how models quantify risk and feed into capital management for regulatory purposes

Job Summary

  • This role offers the opportunity to understand how models quantify risk and feed into capital management for regulatory purposes.
  • The team collaborates globally to implement the latest updates of regulatory requirements using advanced analytical methods.
  • Morgan Stanley provides a supportive environment with comprehensive benefits and ample opportunities for career movement.

Matching Summary

This role offers the opportunity to understand how models quantify risk and feed into capital management for regulatory purposes.

Skills & Requirements

Must-have

  • Degree in quantitative field like Finance or Math
  • Strong programming skills in Python
  • Experience with GenAI, Machine Learning, or NLP
  • Knowledge of credit risk modeling and econometrics
  • Ability to communicate with global stakeholders

Nice-to-have

  • Interest in financial markets and derivatives
  • Genuine business sense and judgment
  • Collaborative mindset across global teams
  • Drive to challenge and improve models

Key Requirements

  • Degree in Finance, Economics, Mathematics, Physics, CS, or Engineering
  • Working experience in GenAI, LLMs, ML, or NLP
  • Demonstrable experience coding numerical methods and algorithms

Work Rights

Not specified

Tailored Resume

Cover Letter