# Quantitative Trading Strategist at The Voleon Group > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Avoleon%3Ac295e1bc-e188-4da9-a9c3-fb7d430087e4 (read 2026-11-06). ## Facts (observed) - Company: [The Voleon Group](https://alderhq.app/companies/the-voleon-group) - Location text: Berkeley, CA - Where it can be done from (inferred): Onsite · United States (evidence: "Location: Berkeley, CA") - Posted: 2026-06-11 (148 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/voleon/c295e1bc-e188-4da9-a9c3-fb7d430087e4 - Skills listed (inferred): Python, SQL ## Pay and sponsorship - Posted pay: $160k–$200k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 2393): p25 $100k, median $156k, p75 $210k ## Description (the employer's text) 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 QTS, 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. ### Responsibilities 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 3+ years of experience in a quantitative trading environment with an emphasis on quantitative research Bachelor’s degree in a scientific or quantitative discipline 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 $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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Avoleon%3Ac295e1bc-e188-4da9-a9c3-fb7d430087e4 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.