Point72's Cubist Systematic Strategies is seeking Entry-Level Quantitative Researchers to conduct rigorous quantitative research focused on developing predictive models. Successful candidates will be trained in systematic trading and become research thought leaders within a collaborative environment.
This role involves conducting original quantitative alpha signal research, analyzing the latest academic research, and managing all aspects of the research process including idea generation, data analysis, hypothesis development, testing, alpha discovery, trading strategy generation, backtesting, and portfolio analysis.
Ideal candidates will possess a quantitative degree in finance, economics, mathematics, statistics, data science, or computer science. Strong programming skills in Python, SQL knowledge, exceptional analytical capabilities, and an ability to work both independently and collaboratively are essential. Prior financial services experience is not required, but a commitment to high ethical standards is crucial.
Point72 offers an exceptional opportunity for talented quantitative researchers to develop advanced skills in systematic trading, work with cutting-edge technologies, and contribute to innovative research strategies within a collaborative and intellectually stimulating environment.
