Identify and engage experienced ML and quantitative research talent through creative sourcing channels, build pipelines, perform market mapping, partner with recruiters and hiring managers, and track sourcing metrics to inform hiring strategy.
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
Skills & Experience
Please note that immigration sponsorship is not offered for this specific opening.
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 & Experience
- Bachelor's Degree; 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, 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 in fast-paced environments
- Strong communication, organizational, and stakeholder management skills, with the ability to manage multiple searches simultaneously and operate with a high degree of ownership
Please note that immigration sponsorship is not offered for this specific opening.
IMC Trading Chicago, Illinois, USA Office
IMC Chicago opened its doors in 2000, becoming our first overseas office. It now hosts more than 650 employees, making it the largest IMC location. Home to the Chicago Mercantile Exchange (CME) and the Chicago Board Options Exchange (CBOE), the city is at the centre of the global market.
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What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
