Quantitative Researcher - Portfolio Optimization

Stevens Capital Management LP; Radnor (Delaware County); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Health and dental plans

401(k) contributions

Discretionary profit sharing program

Job summary

A leading financial services firm in Radnor, PA is seeking a motivated candidate for a role focused on designing multi-period portfolio optimization frameworks. The ideal candidate will have a strong quantitative background and proven experience with MOSEK. This position offers the flexibility to work in-person, remotely, or in a hybrid environment, with competitive compensation ranging from $150,000 to $300,000 annually.

Qualifications

• PhD or Master's in Applied Math or related field.
• Experience with MOSEK or optimization frameworks required.
• Strong programming skills in Python and/or C++.

Responsibilities

• Design multi-period portfolio optimization frameworks.
• Leverage MOSEK to build scalable models.
• Monitor model performance in live trading.

Skills

Strong quantitative background

Proven experience with MOSEK

Deep understanding of slippage

Programming skills in Python

Education

PhD or Master’s in Applied Math, Operations Research, Computer Science

Tools

MOSEK

Job description

Radnor, PA

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.

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

Qualifications

• 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

Compensation 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.