Quantitative Analyst II
AffirmFull Time
Mid-level (3 to 4 years)
Key technologies and capabilities for this role
Common questions about this position
Voleon offers highly competitive compensation and benefits packages.
This role requires working from the Berkeley office during US and Asian market hours, with global market hours on a rotational basis each year.
Required skills include demonstrated passion for markets, proficiency in a programming language like Python or R, experience using a Unix-like OS, academic or practical familiarity with statistics, and a skillset in data analysis and visualization.
Voleon offers an enriching and collegial working environment with colleagues who are internationally recognized experts in machine learning research, highly experienced finance and technology professionals, and unparalleled access to experts and founders.
Strong candidates demonstrate passion for markets, proficiency in programming like Python or R, Unix experience, statistical familiarity, and data analysis skills, along with interest in market microstructure through team rotations and mentorship.
Investment management using machine learning algorithms
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.