Candidates must have at least a Masters degree in Computer Science or a related field. Must have at least two years of professional experience working in quantitative research, analysis, or development within the finance or technology industry. Must have at least two years of experience designing and developing software systems and applications for modeling and analyzing time series data. Must have at least two years of experience developing and backtesting automated trading strategies. Must have at least two years of experience leveraging statistical and machine learning techniques to build quantitative models and predictive signals. Must be proficient in Python, SQL, Docker, Kubernetes, and version control software such as GitHub. Any suitable combination of education, training, or experience is acceptable.
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