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Vice President of Engineering


Voleon


Location

Berkeley, CA | United States


Job description

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.

As Vice President of Engineering, you will lead high-performing technical teams working at the forefront of the applied machine learning in investment management. Your teams are responsible for the platforms and software powering our research and production trading systems. Working with the Chief Technology Officer, you will design and deliver improvements that dramatically increase researcher efficiency, shorten productization timelines, and maintain production reliability. This role requires a proven track record in hiring, managing, and motivating bright engineers, while fostering a culture of collaboration, rigor, quality and innovation.

You will bring direct experience deploying large-scale improvements to existing systems. You are collaborative and service-minded – you dedicate yourself to the success and growth of your teams and delivering on your objectives. You will lead teams focused on a wide array of technical domains including data engineering, machine learning systems, trade monitoring and execution, post-trade operations, and core infrastructure. You will make a difference; through your technical leadership you will be an integral part of establishing a new standard in systematic trading.

Your Team

We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs. You and your teams will collaborate closely with top machine learning researchers.

Responsibilities

Requirements

The base salary range for this position is $200,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

 

“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 $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this 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.

 

Vaccination Requirement

The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine.  This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.


Job tags

Full timeLocal areaRemote job


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