# Quantitative Research Analyst at Stevens Capital Management LP - Full Time and Internships

> United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aftandinternships%3A1304469 (read 2026-11-13).

## Facts (observed)

- Company: [Stevens Capital Management LP - Full Time and Internships](https://alderhq.app/companies/stevens-capital-management-lp-full-time-and-internships)
- Location text: Radnor, PA; Stevens Capital Management LP
- Where it can be done from (inferred): United States (evidence: "Location: Radnor, PA; Stevens Capital Management LP")
- Posted: 2026-11-04 (9 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-10
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/ftandinternships/jobs/1304469
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 36664): p25 $55k, median $84k, p75 $140k

## Description (the employer's text)

We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment. Remote work opportunities are not available to residents of New York City or to residents of Colorado.

### Primary Responsibilities

- Utilize your analytical and quantitative skills, market knowledge and intuition to develop and implement automated statistical trading models.
- Participate in all aspects of research and trading model development, including generating research ideas, building and analyzing data sets, conducting statistical data analysis and implementing quantitative production trading models.
### Requirements

- A bachelors or advanced degree in a field providing a background in advanced statistical analysis of large data sets (includes, but is not limited to, economics, finance, statistics, mathematics or computer science).
- Programming experience, ideally including R, C++ and/or Python.
- Strong working knowledge of regression, time series analysis and other statistical techniques.
- Experience building, organizing and analyzing large data sets is preferred.
- The ability to comprehend and synthesize academic literature in finance, economics and statistics.
- Strong financial market interest.
- The ability to simplify and effectively communicate complex concepts.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aftandinternships%3A1304469 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.