Responsibilities
- Develop and maintain real-time distributed trading systems that execute orders based on our machine learning models
- Design and optimize large-scale data processing systems for historical and real-time ML feature pipelines
- Enhance the resilience and performance of trading and data processing systems
- Build tooling to integrate and validate data from multiple vendors, ensuring consistency and reliability
- Take ownership of technical projects, collaborating closely with research and trading to deliver effective solutions while following best engineering practices
Requierements
- 3-6 years of software engineering experience building robust and scalable systems
- Experience operating and scaling mission-critical systems in Python or other languages (Go, C++, R a plus)
- Good communication and project management skills in complex technical domains
- A track record of leading individual or small projects with limited supervision
- Bachelor’s or advanced degree in Computer Science, Engineering, or a related field, or equivalent industry experience
Preferred Qualifications
- Experience or interest in mentoring junior engineers
- Familiarity with data-centric workflows and pipeline orchestration (e.g., Apache Airflow)
- Proficiency in data validation, anomaly detection, or debugging using tools like Pandas, Polars, data.table/R
- Experience working with AWS or other cloud platforms
- Knowledge of building and monitoring high-performance, concurrent services
Top Skills
What We Do
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.
