hirly

Scmaea

Quantitative Research Analyst Internship

Radnor, PA

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Scmaea first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Internship
Country
US
Work mode
On-site / unstated
First seen by hirly
2 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Scmaea's site ↗

Listed on hirly, a job board. hirly is not the employer: Scmaea is hiring for this role.

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job