Level

IMC

Senior Campus Recruiter - Technology

AI in this role

 

We're looking for a Tech-focused Campus Recruiter to help define IMC's technology graduate and intern recruitment strategy across Australia and New Zealand. In this role you'll build deep fluency in software engineering, machine learning and AI, partnering with technology leadership to stay ahead of the skills we'll be hiring for next - and playing a critical part in sustaining our competitive edge in a fast-moving trading industry.

Because you'll have dedicated events and marketing support, we're open to candidates from either a campus or experienced-hire background. What matters more is your ability to build credibility with technology leadership and run a sharply targeted search. Unlike most traditional Campus roles, you will be focusing on areas like transforming our interview process end to end, or creating a faculty engagement strategy to hire the top 1% of talent.

 

Your Core Responsibilities:

  • Partner with our Campus Events Lead and Marketing team to build IMC's technology campus recruitment strategy across Australia and New Zealand, alongside our existing campus approach for Traders and Quant Researchers.

  • Build trusted relationships with technology leadership internally, acting as their partner on graduate hiring and workforce planning, and helping the business anticipate the skills and profiles we'll need as it grows.

  • Own end-to-end recruitment for technology graduate and intern positions - from initial engagement through assessment to offer - ensuring a swift process and outstanding candidate experience.

  • Develop deep relationships across engineering and computer science faculties and student societies at target universities to build our reputation and showcase our culture.

  • Use data to sharpen how we target, assess and convert talent, and test new channels to reach students we're not yet reaching.

  • Collaborate globally and partner closely with the recruitment teams in Amsterdam and Chicago to share ideas and best practice.

 

Your Skills and Experience:

  • 5+ years of recruiting experience in a fast-paced and dynamic industry (technology, financial services, start-up, etc.)

  • Has built at scale: a track record that could demonstrate entering a new market, rebuilding an interview process, a system implementation or creating a strategy from scratch.

  • Experience recruiting for technology roles, with the appetite to build deeper expertise in software engineering, machine learning and AI.

  • Experience working with organisations known for their forward-thinking talent practices and a high bar for talent.

  • Collaboration: able to build strong working relationships and influence wider teams to deliver against multiple stakeholder requirements

  • Strong self-motivation and the ability to set (and reset) priorities as they shift.

  • Willingness to travel, and the resilience to handle an intense peak season.

 

About Us

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 management 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.

 

How we rate this

Senior Campus Recruiter - Technology at IMC rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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