Hakim Ahmadi

Security Operations Engineer at The Voleon Group

Hakim Ahmadi is an experienced IT professional with a robust background in cybersecurity and information systems. Currently serving as a Security Operations Engineer and System Administrator at The Voleon Group since September 2019, Hakim has previously held positions as a Senior IT Consultant at The Linde Group, and an IT Consultant at the Afghanistan Public Policy Research Organization. Hakim's expertise includes designing and deploying network infrastructure, managing IT systems in both Windows and MacOS environments, and providing comprehensive support and troubleshooting for diverse user bases. Education includes a Bachelor's degree in Cybersecurity and Information Assurance from Western Governors University, with anticipated completion between 2023 and 2024.

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San Francisco, United States

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The Voleon Group

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Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.  The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.  Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.  


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51-200

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