Deep Learning Research Intern — Quant Trading Analytics

IMC; Sydney; On-site; AUD 12,000 - 24,000; Full time

Benefits offered by this job

Travel covered

Accommodation provided

Job summary

IMC in Sydney offers a Deep Learning Research Intern program for a 10–12 week period, working with experienced researchers to develop models, analyze large datasets, and contribute to research that informs trading strategies across global equities, futures, and options markets.

The internship blends classroom and hands-on training with mentorship, and high-performing interns may be considered for a full-time Graduate Researcher position after graduation.

Qualifications

• Pursuing a PhD in a quantitative field with strong ML foundations.
• Experience applying machine learning to real-world problems is preferred.
• Strong analytical and programming skills are essential.

Responsibilities

• Conduct hands-on research to design and apply ML algorithms to market problems.
• Analyze large-scale datasets and develop predictive models.
• Collaborate with researchers and mentors to publish findings.
• Contribute to experiments on options and futures market strategies.

Skills

Research experience in ML

Python programming

Experiment design

Data analysis

Education

PhD in Machine Learning or related quantitative field

Tools

PyTorch

TensorFlow

JAX

Job description

IMC in Sydney offers a Deep Learning Research Intern program for a 10–12 week period, working with experienced researchers to develop models, analyze large datasets, and contribute to research that informs trading strategies across global equities, futures, and options markets.

The internship blends classroom and hands-on training with mentorship, and high-performing interns may be considered for a full-time Graduate Researcher position after graduation.