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.
Primary Responsibilities:
- Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
- Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.
Requirements:
- A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
- Programming experience, ideally including R, C++ and/or Python.
- Strong working knowledge of regression, time series analysis and other statistical techniques.
- Experience building, organizing and analyzing large data sets is preferred.
- The ability to comprehend and synthesize academic literature in finance, economics and statistics.
- Strong financial market interest.
- The ability to simplify and effectively communicate complex concepts.
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
- A bachelors or advanced degree in a relevant field
- Programming experience with R, C++, and/or Python
- Strong working knowledge of regression and time series analysis
- Experience building and analyzing large data sets
- Ability to comprehend and synthesize academic literature
- Strong financial market interest
- Ability to communicate complex concepts
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.
