Global Capital Markets Strat - Strats - Vice President

Morgan Stanley

Base: $225,000 - $250,000 py; bonus/equity: commis...
Bachelor's or advanced degree in quantitative discipline
4+ years of work experience in capital markets
Proficiency in python, r, sql, or java programming
Global Capital Markets Strats apply artificial intelligence, quantitative modeling, and data science to identify and develop productivity, revenue generation, and risk reduction solutions globally

Job Summary

  • Global Capital Markets Strats apply artificial intelligence, quantitative modeling, and data science to identify and develop productivity, revenue generation, and risk reduction solutions globally.
  • The role involves building scalable software libraries, data pipelines, and analytical frameworks while working closely with sector coverage and syndication teams.
  • Morgan Stanley offers a comprehensive compensation package including base pay between $225,000 and $250,000, along with incentive compensation and extensive employee benefits.

Matching Summary

Global Capital Markets Strats apply artificial intelligence, quantitative modeling, and data science to identify and develop productivity, revenue generation, and risk reduction solutions globally.

Salary

Base: $225,000 - $250,000 per year; Bonus/Equity: Commission earnings, incentive compensation, discretionary bonuses, short and long-term incentive packages; Benefits: Comprehensive employee benefits and perks

Skills & Requirements

Must-have

  • Bachelor's or advanced degree in quantitative discipline
  • 4+ years of work experience in capital markets
  • Proficiency in Python, R, SQL, or Java programming
  • Strong understanding of capital markets products and valuation
  • Experience with large datasets and time-series financial data

Nice-to-have

  • Experience with kdb+/q high-performance data systems
  • Familiarity with React front-end development frameworks
  • Familiarity with AI/ML techniques and AI-assisted tools
  • Ability to translate complex quantitative ideas into business insights
  • Demonstrated ability to manage projects across global teams

Key Requirements

  • Bachelor's or advanced degree in Mathematics, Computer Science, Engineering, Statistics, Finance, Economics
  • 4+ years of relevant work experience
  • Proficiency in Python, R, SQL, or Java
  • Strong quantitative reasoning and problem-solving skills

Work Rights

Not specified

Tailored Resume

Cover Letter