Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.
In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.
As a Software Engineer, you will develop systems to translate cutting-edge machine learning into complex trading behaviors. You will touch areas as wide-ranging as machine learning, finance, and technology. This role is a means to make a difference: together with other Software Engineers, you will build the backbone of our business.
Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more
Become an expert in different areas of software development
Proactively engage in 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 teammates
Work directly with Senior Software Engineers and receive high-touch mentorship and coaching
Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using programming languages such as C/C++, Java, Go, and Python
Demonstrated excellence in backend engineering via work with databases, large scale data processing, highly available services
Open source contributions are desirable
Familiarity with modern deployment and build tooling, such as Kubernetes, Bazel, etc., (preferred)
Demonstrated ability to design, develop, and deploy a back-end application given design specs
Eagerness to work in diverse teams
Bachelor’s degree in computer science or a related technical field (Graduating class of 2021)
Authorization to work in the United States
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.
Equal Opportunity Employer
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.
About The Voleon Group
Co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry. Many of our leaders and employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. We are committed to exemplary performance in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
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/Director of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D.