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Quant Trader Developer (Graduate Role) - Relocation to Australia Required

Tibra Capital New York, United States
Posted 5 days ago In-Office Permanent $150,000 AUD
At Tibra, our teams develop real world trading systems and apply quantitative financial methods to the most competitive Financial markets in the world.

The QTD Accelerator Program is open to recent University graduates, applicants with up to 5 years' prior experience in quantitative trading or a similar field, and post-doctoral academics looking to transition into quant trading. The program is based in Austinmer, NSW, Australia.

Vacancies are open for March 2025 or September 2025 commencement.

Start dates are dependent on graduation date + lengthy visa processing times for international applicants. Our recruitment team will provide an indication during the process.

About the role:

At Tibra, our teams develop real world trading systems and apply quantitative financial methods to the most competitive Financial markets in the world.

Our training program offers a unique opportunity to experience first-hand the development of cutting-edge proprietary trading systems. You will be mentored by Tibra's best Quants and Developers, and your training will balance fundamental development, financial market theory and on-the-job training and mentoring. You will contribute to the evolution of the Tibra's trading strategies, while building the software development skills and market insights needed for your success as a Quant Trader Developer.

We offer a competitive salary and attractive employee benefits. At Tibra, you will also have the opportunity for extensive training and learning via our in-house Tibra University program in addition to on-the-job training and mentoring.

This role is based in Austinmer, NSW, Australia.

Experience required:

  • Degree in Mathematics, Computer Science, Engineering or related subject
  • Computer Science Fundamentals - data structures, algorithms and operating systems are essential


Desirable experience:

  • C++ and/or Python
  • Data analysis
     

To apply for this role please submit your profile and include:

  • Resume (include past/expected University graduation dates)
  • Accademic university transcript 
  • Residency status (can be noted on resume)
Job ID  Grad role
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