Intern - Quantitative Analyst / Data Engineer

The quantitative analysis/data engineering intern will focus on our financial data science, quantitative finance, and investment operation. Candidates should be highly motivated and excel in a collaborative multi-faceted research-oriented environment. The primary responsibilities of the position are supporting

• Financial Data Science
  • Financial Data ETL
  • Financial Data API / Scripting
  • Serverless Data Environment
• Implementing Investment Strategies
  • Academic paper reviews and replications
  • Coding in a Python-based Linux environment for performing quantitative analysis
• Writing professional back-test reports
  • Original work on model/strategy enhancement

Ph.D., MS or BS in CS, Math, Physics, Quantitative Finance, Operations Research, or another Science discipline. Candidates should have good English communication skills, a good understand of financial markets, good programming skills in Python, and experiences in developing statistical models in a UNIX or LINUX environment. Experience in cloud computing and big-data analytics is a plus.

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