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.
Skills Required
- Bachelor's Degree
- 4-7 years of sourcing experience focused on technical hiring
- Experience within Machine Learning or Quantitative Research domains
- Strong understanding of ML, AI, and quantitative research talent landscapes
- Demonstrated success building relationships with and engaging experienced technical talent
- Experience sourcing via GitHub, Kaggle, Hugging Face, LinkedIn Recruiter, research publications, and technical communities
- Proven ability to develop and execute data-informed sourcing strategies
- Collaborative experience partnering with recruiters and hiring managers in fast-paced environments
- Strong communication, organizational, and stakeholder management skills; ability to manage multiple searches
What the Team is Saying
What We Do
IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
Why Work With Us
At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.
Gallery
.jpg)
IMC Trading Teams
IMC Trading Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
.png){kind=avatar}
