Quantitative Research Analyst Internship at Stevens Capital Management

Radnor Twp, Pennsylvania, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Financial Services, Investment ManagementIndustries

Skills

Key technologies and capabilities for this role

RC++PythonRegression AnalysisData AnalysisStatistical AnalysisQuantitative ResearchFinancial MarketsOrganizational SkillsCommunication Skills

Questions & Answers

Common questions about this position

Is this internship remote?

Yes, the position is remote.

What is the salary for this Quantitative Research Analyst Internship?

This information is not specified in the job description.

What skills are required for this role?

Requirements include substantial progress toward a degree in a quantitative discipline, programming experience ideally in R, C++ and/or Python, experience with regression analysis, strong interest in handling large data sets, and strong organizational and communication skills.

What is the company culture like at Stevens Capital Management LP?

SCM is committed to a workplace that values and promotes diversity, inclusion, and equal employment opportunity, ensuring all employees are valued, heard, engaged, and have opportunities to collaborate, contribute, and grow professionally.

What makes a strong candidate for this internship?

Exceptionally motivated students with substantial progress toward a graduate-level degree in a quantitative discipline, programming experience in R, C++, or Python, regression analysis experience, and strong organizational and communication skills stand out.

Stevens Capital Management

Quantitative hedge fund manager employing trading strategies

About Stevens Capital Management

Stevens Capital Management LP (SCM) operates as a quantitative hedge fund manager that focuses on developing and implementing data-driven trading strategies. With over 30 years of experience, SCM employs a team that utilizes extensive datasets and technology to create automated trading strategies in highly liquid financial markets. The company emphasizes a rigorous approach, applying the scientific method to ensure disciplined execution of its strategies. Unlike many competitors, SCM prioritizes a collaborative work environment and actively seeks talented individuals with a strong track record in quantitative research and C++ development. The primary goal of SCM is to continuously enhance its trading strategies and maintain a leading position in the financial markets.

Radnor Township, PennsylvaniaHeadquarters

2002Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

11-50Employees

Benefits

Health Insurance

Dental Insurance

401(k) Retirement Plan

401(k) Company Match

Hybrid Work Options

Risks

Increased competition from AI-driven hedge funds could erode SCM's market share.

Regulatory scrutiny on alternative data use may impact SCM's trading strategies.

Talent acquisition challenges in tech could hinder SCM's software development capabilities.

Differentiation

SCM specializes in empirically based trading strategies for over 30 years.

SCM utilizes extensive data sets and the scientific method for trading strategies.

SCM actively recruits top talent for quantitative research and C++ development.

Upsides

SCM can leverage ESG investing trends with its data-driven approach.

SCM can enhance trading strategies using machine learning and alternative data sources.

Remote work trends allow SCM to recruit top global talent for research and development.

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