Quantitative Research Analyst Internship

SCM; Radnor (Delaware County); On-site; USD 27,552 - 41,328; Part time

Job summary

A financial research firm located in Radnor is seeking motivated students for a Quantitative Research Analyst Internship. This opportunity emphasizes empirical research in the financial markets. Responsibilities include analyzing academic research and conducting statistical analysis on data sets. Ideal candidates should be pursuing a degree in quantitative disciplines with programming skills in R, C++, or Python. This internship allows for both summer and part-time commitments during the academic year.

Qualifications

• Graduate-level degree in statistics, econometrics, mathematics, engineering, physics, computer science, or finance required.
• Experience in regression analysis and programming.
• Strong interest in building and analyzing large data sets.

Responsibilities

• Analyze academic research related to global financial market anomalies.
• Build data sets and perform statistical analysis.

Skills

Programming experience (R, C++, Python)

Regression analysis

Organizational skills

Communication skills

Interest in data analysis

Education

Substantial progress toward a degree in a quantitative discipline

Job description

Quantitative Research Analyst Internship

Radnor, PA

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.