Quantitative Researcher - Portfolio Optimization - Remote

Stevens Capital Management LP•Radnor, PA

105d•$150,000 - $300,000•Remote

About The Position

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally. We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.

Requirements

Strong quantitative background (PhD or Master’s in Applied Math, Operations Research, Computer Science, or related field)
Proven experience with MOSEK or other optimization frameworks
Deep understanding of slippage, transaction cost modeling, and intraday trading
Familiarity with real-time data processing and execution systems
Programming skills in Python and/or C++
Experience integrating optimization routines in production trading systems

Responsibilities

Design and implement multi-period portfolio optimization frameworks incorporating transaction costs, slippage, and other market frictions
Leverage MOSEK and other optimization solvers to build scalable and efficient models
Develop and refine intraday trading strategies and execution algorithms
Monitor and analyze model performance in a live trading environment