Talent Sourcer – Machine Learning & Quantitative Research

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$100K-$150K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$81,650 U.S. median for this role

Projected growth (BLS Employment Projections)

+6.9% - Faster than average

53% above the BLS role benchmark for human resources aggregate.

Matched to SOC 13-1071 - Human Resources aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Hr From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Talent Sourcer – Machine Learning & Quantitative Research Chicago, United States 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 & 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,

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.