Quant Research Intern (PhD) - Summer 2025

Job Description

IMC is seeking a Quant Research Intern to join their team in Sydney. The intern will work on machine learning techniques and real-world trading strategies. This is a 3-month internship designed to give the opportunity to apply research skills in a fast-paced, innovative environment. The intern's contributions will directly inform the company's approach to high and mid-frequency delta-one trading strategies for the equities and futures markets. The intern will collaborate with a team of experienced researchers, traders, and engineers, all while receiving mentorship from a senior member of the team. The internship will commence in June 2025 and provides the chance to transition into a permanent Quant Researcher position with IMC upon successful completion of the PhD.

Role Involves:

• Conduct hands-on research to design, develop, and apply original machine learning algorithms.
• Architect, prototype, and refine predictive models and trading strategies for robustness and scalability.
• Analyze large, complex datasets to uncover statistically significant patterns and market behavior insights.
• Communicate research progress and outcomes effectively.
• Collaborate closely with a multidisciplinary team to enhance machine learning capabilities and trading strategies.

Requirements:

• Currently pursuing a PhD (or nearing completion) in Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, or related quantitative fields.
• Deep understanding of machine learning, probability, and statistics.
• Proven ability to conduct original research and deliver impactful results.
• Extensive experience with modern deep learning architectures.
• Strong programming skills in Python (essential), with additional experience in C++ considered a plus.

What IMC offers:

• Opportunity to transition into a permanent Quant Researcher position with IMC upon successful completion of the PhD.