Quant Research Intern — ML, Data & Trading Insights

CSEA; Sydney; Hybrid; AUD 34,000 - 44,000; Part time

Benefits offered by this job

World Building of the Year office

6-week traineeship for graduates

In-house chef with meals

Social events and volunteering

Wellbeing allowance

Charity donations

Job summary

IMC is a leading global trading firm blending technology, quantitative research and ML. As a Quant Research Intern, you’ll tackle real-world challenges with data science and algorithmic trading, guided by senior mentors.

Training covers options theory, statistics, and ML, with exposure to cross-disciplinary teams and ongoing learning. You will present findings and gain hands-on experience in a high‑frequency trading environment, in Sydney’s Circular Quay office, with a supportive learning

Qualifications

• Currently pursuing a bachelor’s or master’s degree in a highly quantitative field.
• Strong analytical and problem‑solving skills with numerical reasoning.
• Proficient programming in Python or similar languages and willingness to learn.

Responsibilities

• Participate in an intensive training program on trading concepts and ML techniques.
• Work on research challenges to design predictive models and improve strategies.
• Explore large market datasets, identify patterns, and develop quantitative models.
• Collaborate with traders, researchers and engineers in a fast-paced environment.
• Present findings through reports and presentations to technical and non-technical audiences.

Skills

Python

C++

Java

Matlab

R

Analytical skills

Communication

Problem solving

Education

Bachelor’s or Master’s degree in Mathematics/Statistics/CS/Engineering

Tools

Python

C++

Java

Job description

IMC is a leading global trading firm blending technology, quantitative research and ML. As a Quant Research Intern, you’ll tackle real-world challenges with data science and algorithmic trading, guided by senior mentors.

Training covers options theory, statistics, and ML, with exposure to cross-disciplinary teams and ongoing learning. You will present findings and gain hands-on experience in a high‑frequency trading environment, in Sydney’s Circular Quay office, with a supportive learning