Staff Software Engineer, Trading Platforms

Job Description

Job Description

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.

As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.

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 universities. You and your team will collaborate closely with top machine learning researchers.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, 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.

Responsibilities

• Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++)
• Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines (Python / Airflow / Go / beam)
• Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)
• Integrate with new assets and markets and drive clarity on the resulting requirements
• Improve the resilience and performance of our trading systems
• Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency
• Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems
• Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company

Requirements

Preferred Qualifications

Compensation

The base salary range for this position is $270,000 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 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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.