Risk Analytics Quantitative Associate

Morgan Stanley

Hybrid
Degree in quantitative field
Thorough knowledge of mathematics and statistics
Two years relevant experience
The team has global responsibility to develop and maintain models generating scenario forecasts and estimating credit loss under such scenarios

Job Summary

  • The team has global responsibility to develop and maintain models generating scenario forecasts and estimating credit loss under such scenarios.
  • Morgan Stanley is a global leader in financial services with over 90 years of history serving clients in more than 40 countries.
  • Employees are supported by an environment that encourages collaboration, creativity, and diverse backgrounds while offering comprehensive benefits.

Matching Summary

The team has global responsibility to develop and maintain models generating scenario forecasts and estimating credit loss under such scenarios.

Skills & Requirements

Must-have

  • Degree in quantitative field
  • Thorough knowledge of mathematics and statistics
  • Two years relevant experience
  • Strong interpersonal and communication skills
  • Excellent command of English

Nice-to-have

  • Python code development skills
  • Interest in financial markets and derivatives
  • Clear thinking and good business sense
  • Drive to challenge and improve models

Key Requirements

  • Degree in Finance, Economics, Mathematics, or related field
  • At least two years of relevant experience
  • Code development skills (Python advantage)

Work Rights

Not specified

Tailored Resume

Cover Letter