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Salary
$175k – $210k per year
Location
Remote/Hybrid (Berkeley, New York, United States)
Employment
Full-Time
Overview
Company
Impact
Profile match
The Voleon Group is a premier quantitative investment management firm headquartered in Berkeley, California, that specializes in machine learning-driven trading strategies. Founded in 2007 by scientists Michael Kharitonov and Jon McAuliffe, the hedge fund combines advanced data science, statistical modeling, and computational AI to forecast financial markets and execute systematic algorithmic trades.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML 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 artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. 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 play a key role in designing and implementing scalable, high-performance software solutions that drive our trading and research platforms. You will engage deeply with both the technical and business aspects of our operations, working alongside traders, quantitative researchers, and other engineers to create scalable, efficient, and resilient solutions. You'll have the opportunity to tackle challenging technical problems while directly impacting the success and evolution of our trading strategies in a highly dynamic and competitive industry.

Responsibilities

  • 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

  • Design, develop, and maintain robust software that support our trading strategies and research initiatives

  • 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

  • Collaborate closely with Senior Software Engineers and benefit from mentorship and coaching

Requirements

  • Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using languages such as Python, R, Java, Go, and C/C++

  • Demonstrated excellence in backend engineering via work with databases, large-scale data processing, highly available services

  • Demonstrated ability to design, develop, and deploy a back-end application given design specs

  • Excellent interpersonal and communication skills, with the ability to work effectively in cross-functional teams

  • Familiarity with modern deployment and build tooling, such as Kubernetes, Bazel, etc. (preferred)

  • Bachelor’s degree in computer science or a related technical field (Graduating class of 2027)

  • 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.

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