Quantitative Research Analyst Internship
Requirements at a glance
Quantitative Research Analyst Internship at SCM is a role based in Radnor, PA. The posting mentions a doctorate. It does not mention visa sponsorship. Key skills include Python and C++. Applications are submitted through Greenhouse.
- Education
- Doctorate (PhD) (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Greenhouse
Skills in this posting
- Python
- C++
Extracted automatically from the job description. Confirm details in the full posting below.
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.