We are looking for an HR Intern to support hiring for quantitative and technology roles at iRage. This role focuses on building strong talent pipelines for high-performance teams including quantitative researchers, traders, and strategy developers. You will work closely with hiring managers to support fast, high-quality hiring in a competitive talent market. This is a hands-on, execution-focused role suited for someone who is detail-oriented, proactive, and interested in niche hiring within trading and high-performance engineering environments.

Key Responsibilities

Talent Acquisition

• Support end-to-end hiring including sourcing, screening, interview coordination, and offer rollout.
• Assist in hiring for quantitative roles (traders, researchers) and technology roles
• Ensure strong candidate experience with timely communication and coordination.
• Work/ closely with hiring managers to align on role requirements and candidate quality.

Talent Sourcing & Pipeline Development

• Build and maintain pipelines for niche talent pools including quantitative researchers, traders, and strategy developers.
• Source candidates through LinkedIn, referrals, job portals, and internal databases.
• Use structured sourcing methods such boolean search and use of AI tools.

Recruitment Coordination & Operations

• Coordinate interviews across stakeholders and ensure smooth scheduling.
• Maintain accurate and updated candidate tracking records.
• Track candidate progress and ensure timely feedback loops.

Recruitment Analytics & Reporting

• Track key hiring metrics such as Time to Fill, Source Effectiveness, and Offer Acceptance Rate.
• Support reporting and pipeline tracking.
• Highlight delays or bottlenecks to senior team members.

Campus & Early Talent Hiring

• Support campus hiring for quant and tech talent pipelines.
• Assist in coordination, candidate tracking, and conversions.
• Contribute to building employer presence across talent networks.

Qualifications & Experience

• Strong interest in recruitment and sourcing.
• Basic understanding or awareness of LLMs (Large Language Models) is a plus.
• Strong coordination, communication, and organizational skills.
• Ability to work in a fast-paced, high-performance environment.