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Working with large unstructured data-sets; creating techniques and programs to process and analyze them, and understand non-obvious patterns within them
Tackling small sample estimation problems, using tools for increasing forecast precision and robustness
Performing sophisticated statistical and financial analysis
Analyzing equity and macroeconomic data
Communicating research results with clear graphical and written analysis
Bachelor's degree (with a strong academic record) in a quantitative field such as mathematics, computer science, mathematics, statistics, physics, engineering, economics or similar discipline is required
Master's degree or participation in CFA program would be considered favorably
2-5 years of work experience in a quantitative field preferred
Demonstrated interest in financial markets; experience with such markets is a plus
Strong experience with programming languages, databases, and tools. Knowledge of at least one of Python (preferred), C/C++, Java, Ruby or similar language is essential
Experience with statistical software such as Matlab, R, SAS, STATA, or any other is helpful