Quantitative Research Analyst at Stevens Capital Management

Radnor Twp, Pennsylvania, United States

Stevens Capital Management Logo
$150,000 – $30,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Investment ManagementIndustries

Skills

Key technologies and capabilities for this role

Quantitative AnalysisStatistical ModelingRC++PythonRegressionTime Series AnalysisData AnalysisFinancial MarketsAcademic Literature Comprehension

Questions & Answers

Common questions about this position

What is the salary range for the Quantitative Research Analyst position?

The anticipated base pay is between $150,000 and $300,000 per year, with actual compensation determined based on skills, qualifications, and experience.

Is remote work an option for this role?

Yes, the position offers onsite, remote, or hybrid work arrangements.

What skills and experience are required for this position?

Requirements include a bachelor’s or advanced degree in a quantitative field, programming experience ideally in R, C++, and/or Python, strong knowledge of regression and time series analysis, and experience with large data sets.

What is the company culture like at Stevens Capital Management?

SCM is committed to a workplace that values diversity, inclusion, equal employment opportunity, and professional growth through collaboration and engagement.

What benefits are offered with this position?

Benefits include eligibility for bonuses, health and dental plans, 401(k) contributions, and a discretionary profit sharing program.

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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