Talent Sourcer – Machine Learning & Quantitative Research

As an ML and Quantitative Research Sourcer, you will be focused on identifying and engaging experienced talent across Machine Learning and Quantitative Research, mapping competitive talent landscapes, building relationships with high-caliber technical professionals, and developing creative sourcing strategies that strengthen IMC’s presence within the broader ML and quantitative communities. You will partner closely with recruiters and hiring managers to deliver strong pipelines of experienced candidates, assess talent against our technical and cultural standards, and provide market insights that inform hiring strategy. Your Core Responsibilities Partner with recruiters and hiring managers to understand hiring needs across Machine Learning and Quantitative Research functions Develop and execute creative sourcing strategies to identify and engage experienced talent Build and maintain strong pipelines of passive candidates across key technical markets Conduct market mapping and talent landscape analysis to support hiring strategy and workforce planning Leverage LinkedIn Recruiter, GitHub, Kaggle, research publications/conferences, referrals, and other creative sourcing channels to identify and engage top technical talent. Engage candidates with compelling outreach and ensure a positive candidate experience throughout the sourcing process Track sourcing activity, pipeline health, and market insights to inform recruiting decisions Collaborate closely with recruiting teams to conti