Credit Rating Analytics – Quantitative Analyst

Morgan Stanley

Hybrid
Strong programming skills in python
Knowledge of numerical methods and algorithms
Experience with data analysis and manipulation
The role involves participating in the research, development, and implementation of credit risk models to quantify risk for capital management

Job Summary

  • The role involves participating in the research, development, and implementation of credit risk models to quantify risk for capital management.
  • Candidates must possess strong programming skills with a preference for Python to conduct numerical method analyses and data manipulation.
  • Morgan Stanley offers a supportive environment with opportunities to work alongside diverse teams across 42 countries and move about the business.

Matching Summary

The role involves participating in the research, development, and implementation of credit risk models to quantify risk for capital management.

Skills & Requirements

Must-have

  • Strong programming skills in Python
  • Knowledge of numerical methods and algorithms
  • Experience with data analysis and manipulation
  • Understanding of financial markets and derivatives
  • Econometric analysis capabilities

Nice-to-have

  • Interest in AI driven tools and solutions
  • Collaborative global team environment
  • Ability to challenge and improve models
  • Clear thinking and good business sense

Key Requirements

  • Degree in Finance, Economics, Mathematics, Physics, CS, or Engineering
  • Thorough knowledge of mathematics and statistics
  • Demonstrable experience in coding numerical methods

Work Rights

Not specified

Tailored Resume

Cover Letter