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Stevens Capital Management LP

Quantitative Researcher - Portfolio Optimization - Remote

2 months ago
Stevens Capital Management LP · Radnor, PA
RemoteFull-timeMOSEK
Stevens Capital Management LP

Quantitative Researcher - Portfolio Optimization - Jersey City, NJ

2 months ago
Stevens Capital Management LP · Jersey City, NJ
On-siteFull-timeMOSEK
Stevens Capital Management LP

Quantitative Researcher - Portfolio Optimization

2 months ago
Stevens Capital Management LP · Radnor, PA
HybridFull-timeMOSEK
Stevens Capital Management LP

Quantitative Researcher - Portfolio Optimization - Remote

Stevens Capital Management LP · Radnor, PA · posted 2 months ago
ApplyFull posting

Extracted from the posting

Base
Not stated
Remote
Remote
Stack
MOSEK
About Stevens Capital Management LP →

The full posting

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.

Primary 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

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

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.