Quantitative Researcher Intern at Asymptote Capital
Berkeley Industrial Engineering & Operations Research · Oregon, United States
- {Internship}
About the role
Overview We are seeking a Quantitative Researcher Intern to join our team and support research involving financial markets, data analysis, and quantitative modeling. This is a hands-on opportunity to apply analytical and programming skills to real-world problems while gaining exposure to quantitative research and systematic investment strategies.
Responsibilities Analyze financial and market data using quantitative and statistical methods. Conduct research on market trends, investment strategies, and quantitative signals. Develop and test quantitative models using Python.
Perform data analysis, visualization, and statistical testing. Assist with backtesting and evaluating research ideas. Document research methodologies, results, and findings.
Collaborate with researchers and other team members on ongoing projects.
Qualifications Currently pursuing a Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, Finance, Economics, Engineering, or a related field. Strong analytical and problem-solving skills. Proficiency in Python or another programming language.
Familiarity with statistics, probability, or quantitative analysis. Strong attention to detail and ability to work independently. Interest in financial markets and quantitative research.
Preferred Qualifications Previous experience with financial data or quantitative research. Familiarity with Python libraries such as NumPy, Pandas, or SciPy.
Experience with data analysis, modeling, or backtesting. Knowledge of financial markets or investment strategies.
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