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Want to challenge your skills and make a tangible impact on the financial markets?
Led by our in-house education team that consists of ex-traders and engineers, our 12-week Research Internship program will equip you with practical skills, invaluable knowledge and technical tools that'll set you up for success.
Discover how data and statistical modelling is used to optimise our trading strategies and improve the financial markets. You'll get to collaborate with and learn from the industry’s best to solve complex challenges that contribute towards our trading success.
Plus, if you’ve excelled over the summer, you could receive an offer to return as a Graduate Quantitative Researcher.
Your summer of exponential growth starts today. Apply now.
No previous experience in trading or financial markets? You bring the passion and we'll have the training to support you along the way.
Over the first few weeks, you'll be immersed in our renowned training program, which covers extensive trading principles and concepts. Once you’ve got the basics covered, you’ll put your knowledge into practice and work on a technical project within one of our research teams. Our experienced researchers will mentor and guide you through the process.
By the end of the internship, you’ll have a solid theoretical and practical understanding of life as a Quantitative Researcher.
You’re an inquisitive, critical thinker who is creative in innovating new solutions. You're constantly keen to understand the “why” and you're a strong believer in the power of collaborative problem solving. In addition, you:
We offer a range of opportunities in our research teams. During the internship, you will be allocated in to one of the following teams:
As a D1 Researcher, you’ll collaborate with traders and developers to develop live trading strategies, using cutting-edge statistical and machine learning algorithms. You’ll build trading signals from market or fundamental data, combine signals and optimise strategy parameters through our state-of-the-art back testing infrastructure.
Whilst you'll use a mix of statistics, computer science and economics in your research, there are no textbook solutions to what you aim to solve. Instead, you’re driven to go beyond theory and search for hidden signals to help you create profitable strategies.
As an Options Pricing Researcher, you will get exposure to the full stack of our trading pipeline. Starting with trading systems, you will process the raw data into valuable market indicators or "alphas" that show market trends. This involves using statistics, creating visual representations, and dealing with large datasets. Next, you will make statistical models to predict financial outcomes such as future market movements or conditions.
You'll also be trained on how to develop strategies with traders. This involves finding new trading opportunities, codifying them into trading schemes, and thoroughly testing these strategies. You'll be involved in managing these strategies, which includes assessing risks, monitoring live performance, and comparing this to back test results.
Whether you join as a Performance or Strategy Researcher, you’ll develop and test hypotheses experimentally, under real-world conditions and constraints, to drive improvements in our trading systems.
As a Performance Researcher, you’ll be using data science, reverse engineering, and computing fundamentals to improve the success of our trading systems. You could be building tools to optimise our low-latency strategies, utilising custom built FPGA hardware, or analysing terabytes of systems and network capture data to process and discover hidden patterns.
As a Strategy Researcher, you’ll be leveraging our understanding of execution success and pricing to design and improve automated trading strategies. The scope of projects you’ll work on is broad, ranging from optimising strategy parameters, to examining market data and finding new hidden market opportunities, to developing new strategies that capture these opportunities.
Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.
Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office.
Ready to take your career to the next level? Apply today.
As an intentionally flat organisation, we believe that great ideas and impact can come from everyone. We are passionate about empowering individuals and creating diverse teams that thrive. Every person at Optiver should feel included, valued and respected, because we believe our best work is done together.
Our commitment to diversity and inclusion is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.
If you have any questions regarding this opportunity, please contact us.
The opportunity is available to applicants in any of the following categories.
Australia
Australian Citizen
Australian Permanent Resident
International Student/Graduate Visa
Software Engineer at Optiver
Bachelor of Computer Science at Victoria University of Wellington