Credit Rating Analytics – Quantitative Analyst

Morgan Stanley

Hybrid
Credit risk models
Econometric analyses
Python programming language
Participate in research, development and implementation of credit risk models

Job Summary

  • Participate in research, development and implementation of credit risk models.
  • Perform econometric analyses to support methodology development and conduct on-demand analyses of model changes.
  • Contribute to projects centered around the latest updates of regulatory requirements and understanding and utilizing AI driven tools and solutions.

Matching Summary

Participate in research, development and implementation of credit risk models.

Skills & Requirements

Must-have

  • credit risk models
  • econometric analyses
  • Python programming language
  • mathematics and statistics knowledge
  • financial markets and derivatives interest

Nice-to-have

  • AI driven tools and solutions
  • collaboration across the globe
  • challenging and improving models

Key Requirements

  • Degree in quantitative field
  • Strong programming skills
  • Excellent command of English

Work Rights

Not specified

Tailored Resume

Cover Letter