Software Developer Intern

As a Software Developer Intern at Optiver, you’ll work alongside experienced engineers to develop innovative solutions that enable us to respond to the financial markets at lightning-fast speeds. In just a few weeks, you could develop applications that contribute towards our trading success.

By the end of the 8-week internship, you’ll have deepened your understanding of how technology is used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Graduate Software Developer.

What you’ll do:

Led by our in-house education team that consists of ex-traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects, during our world-class training program.

In just a few weeks, you'll have the opportunity to manage a project from end-to-end, learn how to work with a complex code base and make impactful contributions to production systems. You’ll get to work on real trading and IT problems, both technically and functionally, to improve our trading success.

You will also be able to build the compute platform and libraries for large scale machine learning model training and simulation workloads. You will have first-hand experience on applying the latest AI technology to quantitative trading problems.

Throughout the program, you will be paired with an experienced mentor, who will show you the ins-and-outs of our trading systems and provide you with guidance and feedback. Additionally, internal resources will be available for your continuous learning and development.

What you’ll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.

In addition, you’ll receive:

• A highly competitive remuneration package.

• Optiver-covered flights and accommodation for the duration of the internship.

• The opportunity to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Gym membership, plus weekly in-house chair massages.

• Daily breakfast, lunch and in-house barista.

• Regular social events.

Who you are:

• Students who are graduating in 2028 or after 2027 September.

• Studying a Computer Science, Computer/Software/Electrical/Mechatronic Engineering or similarly technical degree.

• Knowledgeable about object orientated design and development concepts (experience with C++, C#, Python or Java is required for our technical assessment). 

• Understanding of the concepts underlying machine learning and deep learning technologies, and experience with modern deep learning frameworks such as TensorFlow, PyTorch etc

• Natural problem solvers who love nothing more than tackling a complex technical challenge.

• Team players who love working with like-minded peers and are always looking to learn and improve.

• Interested in the trading/quantitative finance industry (previous knowledge is not required).

How to apply:

Don’t miss your chance to accelerate your career and thrive on one of the most dynamic trading floors in mainland China. Apply now via the form below.

In your application, please submit the following materials in English:

• Resume

• Cover letter (optional)

Questions? Please email

chinacareers@optiver.com.au .

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.

Diversity Statement

Optiver is committed to 

diversity and inclusion . We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

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Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our 

Privacy Policy to acknowledge how we collect and process your personal information.