
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.
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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.
• Scale and advance the company’s entire data infrastructure • Build data-related infrastructure and tooling • Collaborate with various teams to facilitate and improve their usage of data • Design, scope, and deliver large-scale projects with the team lead • Collaborate with engineers to improve team productivity and delivery • Help define the team’s technical roadmap toward strategic engineering goals • Mentor and develop other engineers and help shape the company’s engineering culture • Guide complex initiatives from requirements gathering and robust system design through deployment • Evaluate dependent technologies and collaborate with stakeholders • Build scalable data infrastructure and shape developer experience • Own data cataloging, versioning, and lineage for research and production workflows • Provide technical guidance to engineering and research staff
• Computer Science / Engineering bachelor’s degree (or equivalent) • 8+ years of relevant software engineering experience • Proven track record of software design and implementation focused on correctness, robustness, efficiency, and scale • Experience working with large codebases and building modular, extensible, and maintainable software • Expertise in a modern programming language such as Python, Go, Java, or C++ • Hands-on experience developing in a Linux/UNIX environment • Experience designing and implementing scalable services and APIs, highly available systems, and/or large-scale data infrastructure • Experience with data storage and management technologies such as PostgreSQL, Artifactory, Ceph, or Redis • Strong communication skills and ability to explain complex ideas clearly and simply • Familiarity with Kubernetes and Docker strongly preferred • Familiarity with Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena strongly preferred • Experience building data platforms with a developer-experience lens preferred • Familiarity with Airflow or Slurm strongly preferred • Legally authorized to work in the United States
• Highly competitive compensation and benefits packages • Technology talks by experts • Beautiful modern office • Daily catered lunches • Bonus compensation • 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 • Potential $15,000 referral bonus for a successfully hired and employed referral
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