Quantitative Researcher - Portfolio Optimization

Stevens Capital Management LP

Philadelphia (Philadelphia County)

Hybrid

USD 150,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Health and dental plans

401(k) contributions

Discretionary profit sharing program

Job summary

A financial services firm is seeking a Mid-Senior level Analyst to design and implement portfolio optimization frameworks. The ideal candidate will have a strong quantitative background, experience with optimization frameworks like MOSEK, and programming skills in Python or C++. The position offers a base pay range of $150,000 to $300,000 annually, with additional bonuses and benefits.

Responsibilities

Design and implement portfolio optimization frameworks.
Leverage MOSEK for scalable model building.
Develop intraday trading strategies.
Monitor model performance in live trading.

Skills

Strong quantitative background

Experience with MOSEK

Programming skills in Python and/or C++

Understanding of slippage

Real-time data processing

Experience integrating optimization routines

Education

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

Job description

Overview

Stevens Capital Management LP provided pay range. This range is provided by Stevens Capital Management LP. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. 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.

Base pay range

$150,000.00/yr - $300,000.00/yr

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

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.

Seniority level