Quantitative Research Analyst Internship
TLDR
Contribute to empirical research on anomalies in global financial markets through data-driven analysis, with open-ended projects and internship opportunities across degree levels.
We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary 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.
Requirements
- 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.
SCM develops automated trading strategies powered by advanced quantitative research and rapid implementation. Our target market includes talented individuals passionate about tackling complex problems in a dynamic, non-bureaucratic environment. What sets us apart is our commitment to creativity and collaboration within small teams, allowing for impactful contributions and nimbleness in decision-making.