Quantitative Research Analyst

Job not on LinkedIn

🕒 April 1

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $150k - $300k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔬 Research Analyst

👻 Ghost score 41%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stevens Capital Management LP

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

💸 Finance

Finance

Stevens Capital Management LP is an investment management firm focused on quantitative research and development to manage investment funds for external investors. The firm emphasizes cutting‑edge technology and data‑intensive, high‑performance applications (including an on‑site data center), small team structures, and meritocratic, non‑bureaucratic decision making. Based in Radnor, Pennsylvania, the company highlights employee benefits, a strong 401(k) program, comprehensive health coverage, company amenities, and internship and hiring opportunities. The website copy makes clear the site is for recruitment and employment only and is not an offer or solicitation for investment products.

📋 Description

• 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.

🏖️ Benefits

• bonus • health and dental plans • 401(k) contributions • discretionary profit sharing program

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