Quantitative Researcher: Machine Learning at Two Sigma

As a Quantitative Researcher focused on Machine Learning at Two Sigma, you will be instrumental in developing sophisticated investment models that drive trading strategies across global markets. This role involves navigating the entire research process, from conceptualization to implementation, and applying a rigorous scientific method to understand and predict market behavior. You will work with vast datasets, leveraging advanced machine learning techniques to uncover valuable insights and test complex investment hypotheses. Collaboration with a talented team of engineers and fellow researchers is key, as is a commitment to continuous learning and staying at the forefront of quantitative finance and machine learning research. This position requires a deep understanding of machine learning algorithms and their practical application to real-world datasets. You will be expected to not only utilize existing algorithms but also to tweak and adapt them to specific challenges. The role also emphasizes a strong connection with the academic and research communities, encouraging participation in reading circles, attending seminars, and presenting findings at conferences. Your work will directly contribute to solving complex economic problems and generating value for significant institutional investors.