Job Description

Wolverine is seeking a passionate and innovative Quantitative Researcher to join their team and help build their machine learning research effort. The role involves applying machine learning techniques to train and refine sophisticated pricing and trading models, collaborating with various teams to bring ideas from research to production.

Responsibilities

• Improve parameterization techniques using machine learning models
• Monetize existing algorithms through data analysis
• Increase profitability of trading strategies
• Advance data processing and storage architecture
• Collaborate with researchers and traders to bring new alphas to production

Requirements

• 3+ years of experience using machine learning to optimize real-time systems
• Degree in a quantitative discipline
• Advanced knowledge of modern statistical and machine learning techniques
• Proficiency in scripting languages like Python, R, or MATLAB
• Proficiency in statistical and machine learning packages
• Demonstrated experience working with tick data
• Experience developing software systems in an object-oriented language is a plus

Benefits

• No benefits