Quantitative Research Scientist

Responsibilities: Use advanced data science, machine learning, and applied mathematics to design and implement quantitative trading strategies Develop and enhance predictive models and algorithms to identify actionable investment opportunities Backtest and optimize strategies to ensure consistent, robust performance in varying market conditions Collaborate with data engineers to refine data inputs and ensure high-quality outputs for models Research financial market behavior to develop innovative solutions for systematic investing Skills, qualifications, and experience Ph.D. or Master's degree in Mathematics, Statistics, Computer Science, Physics, or a related field Demonstrated ability to conduct first-class research and apply insights to real-world problems Strong programming expertise in Python, R, or C++, with experience in cloud computing environments Solid understanding of financial markets and systematic investment strategies Track record of exceptional intellectual achievement and a passion for continuous learning