Quantitative Researcher - Portfolio Optimization - Jersey City, NJ

Stevens Capital Management LP; Jersey City (NJ); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Bonus

Health plan

Dental plan

401(k)

Profit sharing

Job summary

Stevens Capital Management LP is seeking a highly quantitative professional to design portfolio optimization frameworks, implement MOSEK-based models, and develop intraday trading strategies for live markets.

Candidates should hold a PhD or Master’s in a related field, be proficient in Python and/or C++, and have experience integrating optimization routines into production trading systems. Base compensation includes a substantial base range with bonus potential.

Qualifications

• PhD or Master’s in applied math, operations research, CS, or related field.
• Experience with MOSEK or similar optimization frameworks.
• In-depth knowledge of slippage and transaction cost modeling.
• Familiar with real-time data processing and execution systems.
• Proficient in Python and/or C++.
• Experience integrating optimization routines in production trading systems.

Responsibilities

• Design multi-period portfolio optimization frameworks with costs and frictions.
• Leverage MOSEK to build scalable optimization models.
• Develop intraday trading strategies and execution algorithms.
• Monitor model performance in live trading environment.

Skills

Python

C++

Real-time data processing

Execution systems

Education

PhD in Applied Math/OR/CS

Master's in Applied Math/OR/CS or related field

Tools

MOSEK

Optimization frameworks

Job description

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.