Rebellion Research Overview
The Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.
The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
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Company Details
Machine Learning based hedge fund
Rebellion Research is a top tier, US-based research firm and think tank. With a specific focus on financial applications of machine learning and artificial intelligence, Rebellion Research has emerged as a leading voice within the financial industry. Through numerous partnerships with our nation’s top universities such as Columbia, New York University, UC Berkeley, and Cornell, we remain actively engaged in cutting edge research projects, drawing top talent from around the world. With a team of dedicated graduate and doctoral students, professors, executives, scientists, and policy experts, Rebellion Research produces hundreds of reports annually, with frequent citations from leading academics and institutions and we are ready to tackle the most prominent challenges in machine learning and seek innovative solutions. In addition to our research on finance, we routinely collaborate with U.S. Government and Military experts, covering domains such as drone image recognition and big data analysis. Our in-house expertise, cutting edge AI analytics platform, and robust collaborations with public and private sectors alike combine to produce impactful insights on global events through the application of deep research, data science and analytics, and computer-driven modeling.
Locations
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