Quantitative Researcher
Core
Develop novel machine learning algorithms and quantitative investment models to build a machine-driven investment pipeline.
Role type
Quantitative Researcher (Systematic Trading)
Builds
Automated investment models and machine-driven trading systems
Domain
Financial markets, mathematics, statistics, machine learning
Deliverable
production ML models
Required skills
Machine learning algorithm development, quantitative modeling, statistical analysis, mathematical optimization, risk measurement, scientific research methodology, Python/C++/Java programming
Preferred skills
Ability to generalize mathematical tools, independent research without guidance, curiosity-driven exploration
Technologies
Python, C++, Java
Responsibilities
Develop novel machine learning algorithms, create automated investment models based on research papers, analyze and optimize trades using mathematical tools, measure and control portfolio risk, improve trading pipeline efficiency
Seniority
Mid-to-Senior, independent contributor