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.
Skills Required
- 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
What We Do
Stevens Capital Management LP (“SCM”) is a quantitative hedge fund manager specializing in the rigorous development and disciplined implementation of empirically based trading strategies. We employ a variety of statistical methods and techniques using our robust technology and data infrastructure. We operate a 24 hour low-latency global operation trading liquid futures contracts, currencies and equities, using automated proprietary execution algorithms. Our flagship fund has been in business for more than 30 years. SCM actively seeks candidates for career opportunities in quantitative financial research and C++ development. Important Disclosures: Stevens Capital Management LP (“SCM”) has no control over third party sites such as LinkedIn. You should review the terms of use and policies of LinkedIn. The information presented in this profile is for recruitment or employment purposes only. Under no circumstances should any material on this profile be used or considered as an offer or solicitation of any potential clients or investors for any investment funds managed by SCM. No material listed in this profile is or should be construed as investment advice, nor is anything in this profile an offer of solicitation to buy, hold, or sell any security or other instrument. Material on this profile is not provided in a fiduciary capacity. SCM does not have editorial control over the people, including employees, that link to this page. SCM does not accept endorsements or recommendations. Although users may follow this account, this should not be interpreted as a testimonial regarding any experience with SCM. SCM reserves the right to amend these terms at any time.
