Quantitative Researcher – Post-Doctoral Intern (US)

About the role

Develop and improve mathematical models and valuation strategies, translate algorithms into code, and backtest and implement trading models and signals. Research unconventional data sources and conduct statistical analysis to build and refine systems for monetizing trading signals. Requires a postdoctoral degree in mathematics, statistics, physics, computer science, or another highly quantitative field, along with strong probability and statistics knowledge and experience in data-driven research. Candidates should have independent research experience, be able to implement models in Python, R, or C++, and demonstrate analytical, communication, organizational, and teamwork skills.