Stevens Capital Management
Fintech & PaymentsDirect Greenhouse career site

Quantitative Researcher - Portfolio Optimization - Jersey City, NJ

Pay
$150,000 – $300,000 per year
Location
Jersey City, NJ · On-site
Job type
Full-time
Level
Mid-level
Education
Doctorate
Listed
31 days ago

Skills & highlights for this role

  • portfolio optimization
  • MOSEK
  • transaction cost modeling
  • Python

Also useful

  • C++
  • intraday trading strategies
  • real-time data processing

Stated benefits & perks

  • Health
  • Dental
  • 401k match

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

Pay and benefits

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.

Read the original posting

From Stevens Capital Management's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the Quantitative Researcher - Portfolio Optimization - Jersey City, NJ role at Stevens Capital Management?

The Quantitative Researcher - Portfolio Optimization - Jersey City, NJ posting at Stevens Capital Management states compensation of $150,000 – $300,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Stevens Capital Management's official career site.

Where is the Quantitative Researcher - Portfolio Optimization - Jersey City, NJ job at Stevens Capital Management located?

This Quantitative Researcher - Portfolio Optimization - Jersey City, NJ position at Stevens Capital Management is located in Jersey City, NJ (On-site). Always check Stevens Capital Management's application page for specific state eligibility or relocation policies.

What qualifications are required for Quantitative Researcher - Portfolio Optimization - Jersey City, NJ at Stevens Capital Management?

For the Quantitative Researcher - Portfolio Optimization - Jersey City, NJ role, Stevens Capital Management highlights a doctorate; experience with portfolio optimization, MOSEK, transaction cost modeling, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Quantitative Researcher - Portfolio Optimization - Jersey City, NJ position at Stevens Capital Management?

This listing links directly to Stevens Capital Management's Greenhouse application page. You can apply directly on Stevens Capital Management's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.