Applied Mathematician - Quantitative Finance & Market Risk

PowerToFly; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Morgan Stanley is seeking a Statistician or Control Theorist to work on market problems where mathematics matters. You will formulate models, analyze data, and build simulations to inform trading policies and risk tools.

The ideal candidate will move between theory, computation, and empirical evidence, with a background in applied math, statistics, operations research, theoretical physics, or stochastic control.

Qualifications

• PhD in a quantitative field relevant to finance and markets.
• Strong mathematical maturity and ability to reason from first principles.
• Advanced data analysis skills.
• Ability to program well enough to build models.
• Clear communication of complex ideas to technical and non-technical colleagues.
• Knowledge of probability, statistics, stochastic calculus, optimization, or stochastic control.

Responsibilities

• Formulate models and challenge assumptions in market problems.
• Conduct challenging statistical analyses of data and run simulations.
• Turn insights into profitable trading policies and risk-management tools.

Skills

Mathematical maturity

Advanced data analysis

Programming

Communication skills

Probability

Statistics

Stochastic calculus

Optimization

Stochastic control

Independent work

Humor

Education

PhD in Applied Mathematics

PhD in Statistics

PhD in Operations Research

PhD in Theoretical Physics

Job description

Morgan Stanley is seeking a Statistician or Control Theorist to work on market problems where mathematics matters. You will formulate models, analyze data, and build simulations to inform trading policies and risk tools.

The ideal candidate will move between theory, computation, and empirical evidence, with a background in applied math, statistics, operations research, theoretical physics, or stochastic control.