Foundational knowledge of probability and statistics (a theoretical understanding as you will be spending much of your time modeling various financial problems). Experience working with and drawing conclusions from large datasets is a must. […]
Having a proficiency in coding cleanly and efficiently is a plus (python preferred). Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial. […]
Tangible mentorship and cross-collaboration between trading, research, and development teams fostering an environment of openness and knowledge...