Credit Rating Analytics – Quantitative Analyst

Morgan Stanley UK

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 concentration

Job Summary

  • The role involves participating in the research, development, and implementation of credit risk models to quantify risk concentration.
  • Candidates must possess strong programming skills with demonstrable experience in coding numerical methods and algorithms using Python.
  • Morgan Stanley offers a supportive environment with comprehensive benefits and opportunities for flexible working arrangements.

Matching Summary

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

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
  • Degree in quantitative field like Mathematics or Finance

Nice-to-have

  • Interest in AI driven tools and solutions
  • Collaboration with global teams
  • Business sense and judgment
  • Drive to challenge and improve models

Key Requirements

  • Degree in Finance, Economics, Mathematics, Physics, Computer Science, or Engineering
  • Excellent command of English written and verbal
  • Regulatory qualifications if deemed a Certified role

Work Rights

Not specified

Tailored Resume

Cover Letter