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Quantitative Trading Strategist

Voleon Group
Quantitative Trading Strategist
London, GB
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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 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.

As a Quantitative Trading Strategist, you will use deep markets knowledge alongside quantitative skills to improve 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 work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.


  • 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.


  • 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research.
  • Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams.
  • Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data.
  • Comprehensive understanding of market micro-structure and a passion for markets.
  • Ability to effectively communicate across teams and present research findings in a clear and concise manner.

“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.

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.

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