Develop and improve on model-driven trading strategies for global equities and other asset classes.
Evaluate data sources and innovate methodologies to predict the market.
Work closely with portfolio managers to analyse and interpret the trading strategies performance.
Solid mathematical and statistical knowledge.
Proficiency in one or more programming languages (Python or R preferred)
An independent and result-driven individual who can approach real-world problems creatively
Bachelor's, Master's or PhD degree in Engineering, Computer Science, Mathematics, Statistics, or equivalent experience from an Ivy League University.
Experience with in-depth analysis of real-world large-scale datasets is a plus
Records of academic or technical achievements: international Olympiad medals, Kaggle contests winners, national scholarships, etc. is a plus.
Please send a PDF resume to firstname.lastname@example.org