
201 - 500 employees
Founded 2007
💸 Finance
🤖 Artificial Intelligence
Finance • Artificial Intelligence
The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.
🔥 0 minutes ago
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201 - 500 employees
Founded 2007
💸 Finance
🤖 Artificial Intelligence
Finance • Artificial Intelligence
The Voleon Group is an investment management firm that applies machine learning and rigorous statistical research to financial markets. Founded with an academic approach to research, Voleon emphasizes scalable models, risk management, and data-driven financial prediction rather than human intuition. Headquartered near UC Berkeley and operating through Voleon Capital Management LP and affiliates, the company hires Ph. D. -level researchers in statistics, computer science, and related quantitative fields to develop automated investment strategies and manage funds.
• Harvest insights from complex arrays of data • Curate, analyze, interpret, visualize, and communicate findings to research staff and executive leadership • Design and implement systems ensuring data correctness and monitoring data health in data stores and live feeds • Identify abnormal production behavior and communicate it to relevant stakeholders • Perform analyses on research and production trading systems with leadership • Apply financial expertise and statistical analysis to derive actionable insights • Design and implement analysis pipelines to automate valuable ongoing monitoring analyses • Contribute to understanding systematic trading systems; the role is not directly involved in developing predictive models
• 1+ years of applied end-to-end industry experience, including internships, working with complex datasets • Experience with data 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 retrospective analysis • Fluency managing, processing, and visualizing tabular data using SQL, Pandas, and R • Basic software development skills • Experience with Bash, Linux/Unix, and Git • Ability to refine ambiguous requests into requirements and produce clear reports • Bachelor’s degree in a quantitative discipline such as statistics, biostatistics, data science, computer science, or a related field • Legally authorized to work in the United States • Experience scripting in a UNIX command-line environment for data analysis • Preferred: Master’s degree in a quantitative discipline • Preferred: Finance industry experience or demonstrated interest in finance • Preferred: Production-facing development experience and familiarity with CI/CD, Git, and Airflow
• Highly competitive compensation and benefits packages • Technology talks by experts • Daily catered lunches • Beautiful modern office • Potential $7,500 referral bonus for eligible successful referrals
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