Quantitative Developer: Investment Banking Strategist

Morgan Stanley

Hybrid
Python programming proficiency
Sql and nosql database competence
Bachelor's or advanced degree in quantitative field
Strats are embedded within banking teams to provide quantitative analysis and data-driven insights for bespoke client solutions

Job Summary

  • Strats are embedded within banking teams to provide quantitative analysis and data-driven insights for bespoke client solutions.
  • The role involves building software tools and dashboards to streamline efficiency in client pitches and transaction execution.
  • Morgan Stanley offers a supportive environment with comprehensive benefits and opportunities for global movement across 1,200 offices.

Matching Summary

Strats are embedded within banking teams to provide quantitative analysis and data-driven insights for bespoke client solutions.

Skills & Requirements

Must-have

  • Python programming proficiency
  • SQL and NoSQL database competence
  • Bachelor's or advanced degree in quantitative field
  • Experience with financial valuation concepts
  • Strong problem-solving under tight deadlines

Nice-to-have

  • Prior investment banking experience
  • Management consulting background
  • Machine learning and AI tool application
  • Global stakeholder communication skills
  • Self-motivated independent work style

Key Requirements

  • Degree in Mathematics, Computer Science, Engineering, Finance, or Economics
  • Software development experience required
  • Not specified

Work Rights

Not specified

Tailored Resume

Cover Letter