Quantitative Analyst I, Capital
Affirm102,000 - 155,000 USD/year
- Full Time
- Junior (1 to 2 years), Mid-level (3 to 4 years)
$150,000 – $300,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Hedge FundIndustries
Requirements
Candidates should possess a Bachelor's or advanced degree in a field such as economics, finance, statistics, mathematics, or computer science, with a background in advanced statistical analysis of large data sets. Programming experience, including R, C++, and/or Python, is required, along with strong working knowledge of regression, time series analysis, and other statistical techniques. Experience building, organizing, and analyzing large data sets is preferred, and the ability to comprehend and synthesize academic literature in finance, economics, and statistics is also necessary.
Responsibilities
The Quantitative Research Analyst will utilize analytical and quantitative skills, market knowledge, and intuition to develop and implement automated statistical trading models, participating 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. They will also simplify and effectively communicate complex concepts to stakeholders.
Skills
R
C++
Python
Regression
Time Series Analysis
Statistical Analysis
Data Analysis
Data Sets
Finance
Economics
Statistics
Mathematics
Computer Science
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.
Key Metrics
Radnor Township, PennsylvaniaHeadquarters
2002Year Founded
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
11-50Employees