Research Engineer

Durlston Partners is collaborating with a pioneering Quant Trading firm in their search for an experienced Research Engineer who excels in solving large-scale numerical and computational problems. In this role, you’ll work closely with the Research Team to deliver scalable solutions for their research infrastructure and facilitate the deployment of new models in live trading. The firm leverages cutting-edge statistical and machine-learning techniques to improve the research process and create novel algorithms for signals prediction. The role is open in both Chicago or London. Responsibilities include collaborating with research and technology teams to investigate novel research ideas, assess them through large-scale experiments, and develop scientific libraries; building tools and engines for live trading; and independently managing research projects. Requirements include expertise in Python and C++, solving large parallel computational problems, strong numeracy skills, experience in software development in trading or related fields, and a STEM academic background.