
Finance • Artificial Intelligence
The Voleon Group is a company focused on the development and application of advanced machine learning technologies for investment management. By leveraging statistical algorithms and data-driven techniques, Voleon aims to improve financial prediction and management practices. Established in 2007 and headquartered near the University of California, Berkeley, the company benefits from a strong academic environment. Voleon's team consists of top talents in statistics, computer science, and related fields, fostering innovation in a collaborative work culture. The leadership consists of highly educated individuals with a background in computer science and statistics, emphasizing scalability and risk management in their investment strategies.
May 31

Finance • Artificial Intelligence
The Voleon Group is a company focused on the development and application of advanced machine learning technologies for investment management. By leveraging statistical algorithms and data-driven techniques, Voleon aims to improve financial prediction and management practices. Established in 2007 and headquartered near the University of California, Berkeley, the company benefits from a strong academic environment. Voleon's team consists of top talents in statistics, computer science, and related fields, fostering innovation in a collaborative work culture. The leadership consists of highly educated individuals with a background in computer science and statistics, emphasizing scalability and risk management in their investment strategies.
• Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. • You will be responsible for harvesting insights from a complex array of data. • Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.
• 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization • Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions • Ability to frame and answer questions mathematically • Ability to infer useful forward-looking directions from results of retrospective analysis • Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R • Basic software development skills and experience with bash, linux/unix, and git • Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication • Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)
• medical, dental, and vision coverage • life and AD&D insurance • 20 days of paid time off • 9 sick days • 401(k) plan with a company match
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