Quantitative Research Intern in Sydney

Quantitative Research Intern in Sydney

Sydney Internship 28.8 - 35.2 $ / hour (est.) On-site
S

At a Glance

  • Tasks: Apply your maths skills to real trading projects and collaborate with industry experts.
  • Company: Join Susquehanna International Group, a leading firm in quantitative research.
  • Benefits: 10-week internship with visa sponsorship and hands-on experience.
  • Other info: Exciting opportunity for growth in a dynamic and supportive environment.
  • Why this job: Make an impact in trading while learning from top professionals in the field.
  • Qualifications: Strong background in probability, statistics, and previous research project experience.

The predicted salary is between 28.8 - 35.2 $ per hour.

Susquehanna International Group in Sydney, NSW is offering a 10-week Quantitative Research Internship where you apply probability, statistics and mathematical creativity to trading projects alongside mentors.

You’ll collaborate with researchers, traders and technologists to translate quantitative models into trading opportunities and strategies; visa sponsorship is available for this role, and previous research project experience is valued.

Quantitative Research Intern in Sydney employer: Susquehanna International

At Susquehanna, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Trading Systems C# Developer, you'll have the unique opportunity to make a significant impact in a newly created role while enjoying benefits like private healthcare, wellness initiatives, and a daily lunch allowance. Our commitment to employee growth is evident through our education assistance programs and matched donations, making this an ideal place for those seeking meaningful and rewarding employment in either Hong Kong or Sydney.

S

Contact Details:

Susquehanna International Recruitment Team

We think you need these skills to ace Quantitative Research Intern in Sydney

Probability
Statistics
Mathematical Creativity
Quantitative Modelling
Collaboration
Research Project Experience
Trading Strategies