Stevens Capital Management LP
Posted 75 days agoVerified live 2d ago
Quantitative Research Analyst - Remote
Brief overview
Remote
UndergradOr in progress
$150k–$300k/yrStated range
5 H-1B approvalsDept. of Labor
Statistical trading modelsR programmingC++ programmingPython programmingRegression analysisTime series analysisStatistical techniquesLarge data set analysisFinance literature comprehensionEconomics literature comprehensionStatistics literature comprehension
About the company
Stevens Capital Management LPscm-lp.com
Stevens Capital Management LP (“SCM”) is a quantitative hedge fund manager specializing in the rigorous development and disciplined implementation of empirically based trading strategies.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.5H-1B approved
100%approval rate
1new H-1B hires
$160,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20243
20251
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
Top sponsored roles
Quantitative Research Analyst
Job description
Summary
Stevens Capital Management LP is committed to diversity and inclusion in the workplace, and they are seeking a highly driven Quantitative Research Analyst. The role involves developing and implementing automated statistical trading models and participating in all aspects of research and trading model development.
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
Skills
- 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
- 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
- Experience building, organizing and analyzing large data sets
Qualifications
Must Haves
- 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
- 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
Nice to Haves
- Experience building, organizing and analyzing large data sets
Benefits
- Bonus
- Health and dental plans
- 401(k) contributions, which includes a discretionary profit sharing program
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