Voleon
FinTech
QuantitativeTradingStrategist
Neural analysis suggests this role is
optimal for Mid candidates.
“Quantitative Trading Strategist at Voleon. Skills: Quantitative trading, AI/ML, Investment management. Measure algorithmic execution quality. Improve algorithmic execution quality”
Industry & Context.
What They're Looking For.
Must Have
3+ years quantitative trading experience, Bachelor's degree scientific quantitative discipline, Proficient in basic statistics, Comprehensive market microstructure understanding
What You'll Do.
Measure algorithmic execution quality
Improve algorithmic execution quality
Conduct high quality research
Create relevant reports
Write high-quality production code
Design data pipelines
Develop data pipelines
Design production trading applications
Develop production trading applications
Collaborate with trading team
Collaborate with RnD team
Improve trading strategies
Provide domain expertise
Manage relationships external brokers
Manage relationships trading partners
How You'll Work.
Team & Collaboration
Across teams; Trading and RnD team members
Communication Scope
Present research findings
Full 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. 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 -
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