Stevens Capital Management LP logo
Stevens Capital Management LP
Posted 122 days agoVerified live 2d ago

Quantitative Research Analyst Internship

Brief overview

Radnor, PAIn-person
UndergradOr in progress
5 H-1B approvalsDept. of Labor

About the company

Stevens Capital Management LP logo
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 exceptionally motivated students for their Quantitative Research Analyst Internship. The role involves contributing to empirical research by analyzing academic research related to financial market anomalies and conducting statistical analysis on data sets.

Responsibilities

  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets
  • Build data sets and conduct statistical analysis on the data

Skills

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines)
  • Programming experience, ideally including R, C++ and/or Python
  • Experience with regression analysis
  • Strong interest in learning how to build, organize and analyze large data sets
  • Strong organizational and communication skills

Qualifications

Must Haves

  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines)
  • Programming experience, ideally including R, C++ and/or Python
  • Experience with regression analysis
  • Strong interest in learning how to build, organize and analyze large data sets
  • Strong organizational and communication skills

More jobs like this