Quantitative Research Analyst Internship

Stevens Capital Management LP - Internships; Radnor (Delaware County); Hybrid; USD 15,000 - 25,000; Full time

Job summary

Stevens Capital Management LP in Radnor, PA is offering a Quantitative Research Analyst Internship aimed at exceptionally motivated students keen on financial markets. Interns will contribute to empirical research, involving reading and analyzing academic research regarding market anomalies and statistical data analysis.

The role encompasses the building of data sets while working closely with a supportive team, especially ideal for students progressing in quantitative disciplines or finance. Various internship opportunities are available to fit students’ schedules.

Qualifications

• Graduate level in statistics, econometrics, mathematics, engineering, physics, or computer science.
• Experience with regression analysis.
• Strong interest in learning how to build and analyze large data sets.

Responsibilities

• Analyze research related to financial market anomalies.
• Build data sets and conduct statistical analysis.

Skills

Programming experience (R, C++, Python)

Statistical analysis

Strong organizational skills

Communication skills

Education

Substantial progress towards a degree in a quantitative discipline or finance

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.