MSMFT Career roles & paths

The MSMFT prepares you for a wide range of careers across quantitative finance and fintech. This guide introduces some roles our graduates pursue, with a brief overview of each and the skills that set strong candidates apart. Use it to explore your options, find the paths that fit you, and focus your search.

Role Name Description Key Skills Employers
Quantitative
Analyst/
Researcher		 Uses mathematical and statistical methods to price assets and derivatives, identify trading and investment opportunities, and helps implement trading strategies.
  • Statistical Modeling
  • AI/ML
  • Probability Theory
  • Financial Markets
  • Data Management
  • Python
 Asset Management, Private Equity/Credit, Hedge Funds, Banks, or Insurance Companies.
HFT/
Quantitative
Trading		 Employs mathematical and statistical models to identify potentially profitable algorithmic trading strategies (alpha), implements them in code, and executes trades.
  • Deep Knowledge of Market Microstructure
  • Quantitative and Statistical Analysis
  • AI/ML
  • Python
  • C/C++
 Market Makers or Prop Trading Firms.
Quantitative
Developer		 Combines AI-aided software development, mathematics, and finance to build and maintain complex systems used by financial institutions.
  • Python
  • C/C++
  • Algorithms
  • Data Structures
  • Mathematics
  • Statistics
  • Financial Theory
  • Data Management
  • Cloud Computing
 Hedge Funds, Asset Management, Banks, Insurance, or Fintech Companies.
Risk
Management		 Supports business decision-making by building and maintaining risk analysis and modeling frameworks for asset classes, trading strategies, and enterprise risk.
  • Quantitative and Financial Modeling
  • Python
  • Stochastic Calculus
  • Financial Markets
  • Communication
 Financial Institutions or Non-Financial Businesses.
Operations
Analyst		 Provides post-trade support and analysis of trading operations, develops performance attribution processes, contributes to client reporting, and other operational functions.
  • Communication
  • Programming
  • Data Management
  • Mathematics/Statistics
  • AI/ML
  • Financial Markets
  • Attention to Detail
 Asset/Wealth Management Firms, Hedge Funds, Banks, or Insurance Companies.
Data
Scientist		 Applies analytical skills to extract insights from large datasets, using AI/ML and statistical techniques to inform decision-making, and drive business strategy.
  • Mathematics/Statistics
  • AI/ML
  • Quantitative Analytical Skills
  • Communication
  • Python
 A wide range of Financial or Non-Financial Businesses.