Responsibilities
- Design real-time distributed trading systems that place orders across global markets and asset classes (Go)
- Own observability and remediation tooling used to analyze trading performance and risk (Go / Python)
- Integrate with new assets and markets and drive clarity on the resulting requirements
- Improve the resilience and performance of our trading systems
- Develop tooling to integrate data from diverse vendors
- Lead complex projects spanning across the company. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
- Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
- Computer Science Degree or equivalent experience
- 7+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems in languages such as Python and Go
- Excellent communication and project management skills in complex technical domains
- Ability to understand user stories and design solutions around real-world requirements
- Track record mentoring engineers and leading technical direction
Preferred Qualifications
- Expertise in building and optimizing data pipelines
- Experience with profiling and performance optimizations on highly available systems
- Experience with designing DR-aware robust software solutions
- Exposure to modern Python data science tooling
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.