Our client, a quantitative asset management firm, derives its unique edge in asset management from its blend of high-frequency trading and science-based investment approaches. They have an exciting opportunity for a candidate who will help quantitative researchers implement trading strategies, build out better toolkits and infrastructure and provide support for the research groups in the investment management business. In this role you will enable the quants to focus on research, while you release and support strategy updates into production. The role requires a strong knowledge of Python/Pandas/Numpy stack and experience navigating through existing codebase. The ideal candidate is someone with a software perspective (but not necessarily an infrastructure developer), who needs to have the ability to analyze existing strategy code, identify potential software weaknesses and implement improvements. The candidate should have some overlap with the quant skill set, which would enable them to really understand the implications of the strategies. You will collaborate with researchers and developers across the teams. We offer competitive compensation and excellent benefits. 

Essential Functions

This role requires experience with quantitative coding in Python, strong communication skills, and the ability to deliver in the following key areas:

Required Skills and Experience 

Preferred Education and Experience