Quantitative Trading Strategist Lead

Job Description

Job Description

Voleon is a technology company that applies state-of-the-art 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 machine learning to investment management. We have become a multi-billion-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 finance and technology professionals. You will be working with strategies that are at the forefront of machine learning and statistical trading. The strategies have been carefully designed to generate non-correlated returns. Our firm and its strategies are the product of many years of meticulous research and craftsmanship, and you will lead the way in stewarding them for the future.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, unparalleled access to our experts and founders, and more.

The Trading Operations group at Voleon sits at the crossroads of finance and applied science, collaborating with research and other production staff to supervise and improve systematic trading strategies. The team ensures that the outputs of our research efforts are successfully implemented in the real world. Domains of contribution include algorithmic execution, securities lending, and market expertise across a variety of asset classes and markets.

As a Quantitative Trading Strategist Lead, you will use deep markets knowledge alongside quantitative skills to lead a team tasked with improving the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will report to the Head of Trading, and work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.

Responsibilities

• Lead a small team of high-caliber Quantitative Trading Strategists and Data Scientists
• Measure and improve algorithmic execution quality across asset classes
• Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
• Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
• Collaborate with trading and RnD team members to improve our trading strategies
• Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
• Manage relationships with external brokers and trading partners

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 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.