Quantitative Analytics Internship

Selected intern's day-to-day responsibilities include:

1. Implement statistical methods to solve specific business problems utilizing Python or R
2. Present critical data in a format that is immediately useful to answer questions about the inputs and outputs of forecasting systems and improve their performance
3. Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback

Requirements:

1. Experience with causal inference, applied time series modeling, or machine learning forecasting applications
2. Experience with time-series analysis, quantitative modeling or statistical analysis is a must-have
3. Background with econometrics, quantitative finance, or statistics is a must-have

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