Quantitative Researcher: Machine Learning
Core
Develop sophisticated trading models and investment ideas using machine learning and statistical techniques to navigate the full research process and capitalize on market opportunities.
Role type
Quantitative Researcher (Machine Learning)
Builds
Sophisticated investment models for trading a variety of global markets
Domain
Quantitative finance / Machine Learning
Deliverable
production ML models
Required skills
Statistical techniques, Machine learning algorithms, Data analysis, Programming (C, C++, Java, or Python), Hypothesis testing
Preferred skills
Published research in journals, Conference presentations, Academic seminar attendance
Technologies
C, C++, Java, Python
Responsibilities
Develop sophisticated trading models using a rigorous scientific method, Apply machine learning to vast arrays of datasets, Create and test complex investment ideas, Partner with engineers to test hypotheses, Join reading circles to stay updated on research papers, Attend academic seminars and share insights from conferences
Seniority
Individual Contributor (IC)