IMC
Financial Services
TalentSourcer–MachineLearning&QuantitativeResearch
Neural analysis suggests this role is
optimal for Mid candidates.
“Talent Sourcer – Machine Learning & Quantitative Research at IMC. Skills: Machine Learning, Quantitative Research, Talent sourcing. Partner with recruiters and hiring managers to understand. Develop and execute creative sourcing strategies to identify”
Industry & Context.
Immigration sponsorship not offered
What They're Looking For.
Must Have
4–7 years sourcing experience, Experience identifying and engaging talent through channels such as GitHub, Kaggle, Hugging Face, LinkedIn Recruiter, research publications, and other technical communities, Proven ability to develop and execute sourcing strategies using data, feedback, and market insights, Collaborative approach with experience partnering closely with recruiters and hiring managers
Nice to Have
Experience within Machine Learning, Quantitative Research, or related technical domains, Experience building relationships with and engaging experienced technical talent in competitive markets
What You'll Do.
Partner with recruiters and hiring managers to understand
Develop and execute creative sourcing strategies to identify
Build and maintain pipelines of passive candidates
Conduct market mapping and talent landscape analysis
Leverage sourcing channels to identify and engage top
Engage candidates with compelling outreach
Ensure a positive candidate experience
Track sourcing activity
Collaborate closely with recruiting teams to improve sourcing
How You'll Work.
Team & Collaboration
Partner with recruiters; Partner with hiring managers
Full Job Description
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 continuously improve sourcing processes and effectiveness Skills 4–7 years of sourcing experience focused on technical hiring, ideally within Machine Learning, Quantitative Research, or related technical domains Strong understanding of ML, AI, quantitative research, and broader technical talent landscapes Demonstrated success building relationships with and engaging experienced technical talent in competitive markets Experience identifying and engaging talent through channels such as GitHub, Kaggle,
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