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Quantitative Research Developer - Jersey , NJ

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Stevens Capital Management LP
Full Time position
Listed on 2026-01-07
Job specializations:
  • Business
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 300000 USD Yearly USD 150000.00 300000.00 YEAR
Job Description & How to Apply Below
Quantitative Research Developer - Jersey City, NJ

Jersey City, NJ

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’re seeking a highly driven, production-oriented quantitative research developer who has strong technical skills, first-hand experience with tick data, and interest in the intersection of market microstructure and alpha generation.

Primary Responsibilities:

  • Design, develop and support simulation frameworks for backtesting execution approaches.
  • Work with other quantitative researchers to develop new trading ideas.

Requirements:

  • Proficiency and experience in C++ and Python.
  • Experience researching, building and maintaining trading systems utilizing market data.
  • Strong understanding of data path from tick to trade.
  • Experience analyzing time series data.
  • Experience with large data sets.
  • Excellent verbal and written communication skills.
  • Strong work ethic and desire for excellence.
  • Desire to think critically and creatively.

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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