Responsibilities
- Engage and collaborate in diverse software development work, ranging from algorithm development to working on data pipelines and building tooling for analyzing experiments.
- Accelerate the company's research efforts through the development of a reliable and performant backtesting framework code-base
- Lead company-spanning complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with collaborators and teammates across the company
- Design enhancements to our backtesting framework, used to back-test research ideas across a global set of markets and asset classes (Python / C++)
- Build and optimize algorithms for improving the efficiency and reliability of our backtesting pipelines. (Python / C++)
- Develop and own tooling used to analyze trading performance (Python / R)
- 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
- 5+ years of software engineering experience building highly performant systems
- Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
- Hands-on experience developing in a Linux/UNIX environment
- Excellent communication and project management skills and a proven ability explain to complex ideas with clarity and simplicity
- Track record mentoring engineers and leading technical direction
- Familiarity with techniques and approaches from optimization, algorithms, and statistics.
- Experience with runtime profiling and performance optimization on large codebases. (Python / C++)
- Exposure to modern python data science tooling (pandas, polars, duckdb etc)
Preferred Qualifications
- Exposure to tooling for running automated workflows (e.g.: airflow, docker, kubernetes), and general HPC experience
- Experience with performance improvements using GPUs
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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.





