Alexander Chapman · 3 days ago
Quantitative Researcher, Machine Learning
New York, United States
Full-time
Onsite
Mid LevelAlexander Chapman is a hedge fund seeking to hire a Machine Learning Researcher to join its systematic equities investment team. The successful candidate will focus on applying machine learning techniques to develop systematic equity strategies and will work closely with portfolio managers and engineering teams.
ConsultingHuman ResourcesRecruiting
Hiring Manager
Malvesa Bekteshi
Responsibilities
Apply machine learning methods to develop and enhance systematic equity signals and models
Research, test, and validate predictive features across equity markets
Conduct rigorous backtesting and performance analysis
Work with large, structured and unstructured datasets, including alternative data
Collaborate with portfolio managers and engineers to deploy research into production
Monitor model performance and contribute to ongoing model improvement
Qualification
Required
Advanced degree in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, Physics, or a related discipline
Strong foundation in machine learning, statistics, and quantitative research methods
Proficiency in Python and experience with ML and data analysis libraries
Understanding of systematic equity strategies and financial markets
Ability to communicate research findings clearly and effectively
Company
Alexander Chapman
Alexander Chapman offers recruitment services, focusing on human resources and talent management.
Founded in 2016
11-50 employees
Funding
Current Stage
Early StageLeadership Team
D
Daniel Hoff
Co-Founder
Genti Zullufi
Co-Founder
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