TALENT SOURCER - MACHINE LEARNING & QUANTITATIVE RESEARCH

IMC Financial Markets
Chicago, IL, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Github Machine Learning Kaggle HuggingFace

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

Requirements

Do you have experience in Stakeholder relationship building?, Do you have a Bachelor’s degree?, * 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

Benefits & conditions

$100,000 - $150,000 a year - Permanent, Full-time, The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$100,000.00 - $150,000.00 USD

About the company

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

1:22 min

Downloading and inspecting data frames via the Kaggle API

Lutske van der Meer Lutske van der Meer · World Congress 2024

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The impact of artificial intelligence on talent sourcing

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

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Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

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Introducing the sample Kaggle recipe dataset

Olena Kutsenko · World Congress 2022

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