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 the submarine service. 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 Senior Software Engineer (Financial Systems), you will work closely with our Trading, Middle Office, Fund Accounting, and Operations staff to understand their requirements and build and manage their underlying systems. This role is a means to make a difference: you will own mission critical systems intersecting multiple operational segments of the business.
Collaborate with Trading, Middle Office, Fund Accounting, and Operations staff to translate requirements into software automating these functions’ systems
Own the design and implementation of new trading, middle office, accounting, and operations systems, dashboards, and reports
Manage the delivery and processing of heterogeneous data to various business functions
Ensure data accuracy and timeliness through automating quality control and developing efficient processes for correcting and diagnosing data issues
Mentor other software engineers
Significant professional experience in institutional finance, trading, or accounting with exposure to applicable systems and terminology used in these functions
Software development experience in a Linux environment with a focus on data correctness. Python experience is preferred
Strong cross-functional project leadership skills including gathering requirements from multiple business stakeholders and overseeing design and architecture decisions
Outstanding personal responsibility, diligence, and attention to detail
Exposure to and/or interest in mentoring others
Experience with data pipelines and managing heterogeneous data sources is preferred
Familiarity with trading systems and financial data including FIX protocol is preferred
Bachelor’s degree in computer science, related technical field, or accounting/finance
“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 $15k 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.
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.