Job Description:
• Build reproducible backtests for proposed models / algorithms
• Contribute to the deployment and implementation of differentiated investment services
• Contribute to the development of infrastructure for modelling, optimization, backtesting, analytics, and data management
• Investigate, identify, and acquire internal / external datasets
• Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products
• Promote our products by providing data and authoring blog posts and white papers
Requirements:
• Bachelors or Masters Degree in mathematics, statistics, economics or computer science (or a related quantitative discipline). If you have done or are thinking about doing a PhD someday, chances are you’ll love our team
• 4+ years of experience in systematic or quantitative investing or a higher degree in a quantitative field
• Experience analyzing complex data and building statistical models
• Proficiency in Python or R (you have written massive amounts of code, employing revision control, and testing)
• Competency in SQL preferred
Benefits:
• medical
• vision
• dental
• 401K plan
• generous time off
• parental leave
• wellness reimbursements
• professional development
• employee investing discount
• and more!