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Quantitative Researcher - Portfolio Optimization - Jersey City, NJ

scm insurance services Jersey City, NJ

See all open roles at scm insurance services

Ghost-risk verdict

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  • open for 303 days (90+ without a fill is a strong ghost signal)
  • 29 open roles at this company in 30 days (mass-hiring blitz)

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About the role

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.

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.

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