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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backtestingstatistical modelsdata analysisPythonRSQLdata managementoptimizationanalyticsrevision control

Soft Skills

collaborationcommunicationproblem-solvingcreativitywriting

Certifications

Bachelors DegreeMasters DegreePhD