The Voleon Group Tech Stack

Quantitative hedge fund applying machine learning to systematic trading

Financial Services Berkeley, CA 201–500 employees Founded 2007 Privately Held

Voleon is a machine-learning hedge fund built by researchers (founders include ML scientists and academic faculty) who are now scaling their infrastructure for live trading and real-time execution. The tech stack spans production data systems (SQL, Pandas, Spark, Airflow, Kubernetes) and research languages (Python, R, Go, C++), with active hiring across engineering, data, and research departments—signaling a push from research-driven fund toward operationalized, systematic trading at scale.

Tech Stack 91 technologies

Core StackPandas Linux Jira Confluence Apache Airflow Python Java Go Kubernetes Workday Smartsheet C++ React Apache Spark Splunk Elasticsearch SQL R bash Git Excel C/C++ Bazel Adaptive Planning Apache Beam Beam Presto Dask Polars Wazuh+61 more

AdoptingPython SQL

What The Voleon Group Is Building

◆Challenges

Financial market prediction
Resilience and performance of trading systems
Improving algorithmic execution quality
Portfolio optimization
Scaling research and engineering departments
Identifying abnormal production behavior
Delivering high-priority objectives on time
Improving trading system resilience
Systematic trading implementation
Improving okr workflow clarity

▲Active Projects

Productizing solutions for live trading
Real-time distributed trading systems
Observability and remediation tooling
Analytical pipelines for production monitoring
Improving algorithmic execution
Initial buildout of a fully modern securities business
Data correctness monitoring system
Portfolio optimization
Data pipelines for machine learning
Side letter negotiation

Hiring Activity

Decelerating130 roles · 25 in 30d

Department

Engineering

Data

Research

Finance

Ops

Legal

Compliance

Seniority

Senior

Mid

Junior

Manager

Director

Lead

Staff

Intern

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About The Voleon Group

The Voleon Group is a quantitative hedge fund founded in 2007 and headquartered in Berkeley, CA. The firm applies statistical machine learning and algorithmic modeling to investment management and securities trading. The organization is research-intensive: many employees hold doctorates in statistics, computer science, and mathematics. Current operations span systematic trading execution, portfolio optimization, data pipeline architecture, and market prediction, with production concerns around trading-system resilience, algorithmic quality, and data correctness. The firm operates offices in the United States, United Kingdom, and Canada.

HeadquartersBerkeley, CA

Company Size201–500 employees

Founded2007

Hiring MarketsUnited States, United Kingdom, Canada

Frequently Asked Questions

What is Voleon Group's tech stack?

Core tools include SQL, Python, Pandas, R, Apache Spark, Apache Airflow, Kubernetes, and Presto for data pipelines and modeling. Production systems use Java, Go, and C/C++ for trading and execution infrastructure. Observability is handled via Elasticsearch, Splunk, and Wazuh.

What is Voleon Group working on?

Current projects include productizing live trading solutions, building real-time distributed trading systems, improving algorithmic execution quality, portfolio optimization, data correctness monitoring, and observability tooling for production trading systems.