Low-Latency Trading Software Intern

St Mark'S College

New South Wales

On-site

AUD 30,000 - 42,000

Full time

7 days ago
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Benefits offered by this job

Flights and accommodation
Mentorship and training
Professional development
Gym membership and massages
Meals on site
Social events

Job summary

Optiver is seeking a Software Developer Intern to collaborate with our engineers on latency-critical solutions that empower our fast-paced trading systems. During a 10-week program, you will gain hands-on experience while building robust, scalable components and learning how technology is applied to quantitative trading.

By summer's end, successful interns may receive an offer to return as a Graduate Software Developer, continuing your journey in a world‑class training environment with

Qualifications

  • Penultimate university student.
  • Australian or New Zealand citizen or eligible to work in Australia.
  • Studying Computer Science or a technical engineering degree.
  • Strong problem-solving skills and appetite for low-latency systems.
  • Willingness to learn and collaborate with traders and engineers.
  • Experience with OO design concepts; C++, Java or Python for assessment.

Responsibilities

  • Contribute to latency-critical software developed with experienced engineers.
  • Develop and test code that feeds into real-time trading systems.
  • Participate in the full development lifecycle from design to production.

Skills

C++
Java
Python

Education

Computer Science
Software Engineering
Electrical Engineering
Mechatronic Engineering

Job description

Optiver is seeking a Software Developer Intern to collaborate with our engineers on latency-critical solutions that empower our fast-paced trading systems. During a 10-week program, you will gain hands-on experience while building robust, scalable components and learning how technology is applied to quantitative trading.

By summer's end, successful interns may receive an offer to return as a Graduate Software Developer, continuing your journey in a world‑class training environment with

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