IMC
Talent Sourcer – Machine Learning & Quantitative Research
About this role
IMC Trading seeks an experienced ML and Quantitative Research Sourcer to identify and engage top technical talent across machine learning and quantitative research roles. You'll develop creative sourcing strategies, build candidate pipelines, and provide market insights to support hiring and workforce planning in Chicago.
What you'll do
- Partner with recruiters and hiring managers to understand technical hiring needs and deliver strong candidate pipelines
- Develop and execute creative sourcing strategies targeting experienced ML and quantitative research professionals
- Build and maintain passive candidate pipelines across key technical markets
- Conduct market mapping and talent landscape analysis to inform hiring strategy
- Leverage LinkedIn Recruiter, GitHub, Kaggle, research publications, and other technical channels to identify talent
- Track sourcing activity, pipeline health, and market insights to support recruiting decisions
What they're looking for
- 4-7 years of technical recruiting or sourcing experience
- Deep understanding of machine learning, AI, and quantitative research landscapes
- Proficiency with LinkedIn Recruiter, GitHub, Kaggle, and technical community platforms
- Ability to build relationships with experienced technical professionals in competitive markets
- Data-driven sourcing strategy development and execution
- Strong communication and stakeholder management skills
- Ability to manage multiple concurrent searches with high ownership
- Bachelor's degree
Benefits
- Base salary: $100,000–$150,000 USD
- Discretionary bonus eligible
- Paid leave
- Insurance coverage
- Collaborative, high-performance culture
- Global trading firm with offices across US, Europe, Asia Pacific, and India
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IMC
IMC builds trading technology and financial systems powered by software, machine learning, and hardware engineering. The company is hiring interns and graduate-level engineers and researchers across software, machine learning, and hardware disciplines to develop trading algorithms, research strategies, and collaborative technology solutions.
View all jobs at IMCLikely interview questions
- Walk us through your experience sourcing ML and quantitative research talent. What sourcing channels have been most effective for you, and why?
- How do you assess whether a candidate has the technical depth needed for ML or quantitative research roles when you may not be a technical expert yourself?