Programme duration: From 3-6 months, starting in 2026.  

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.  

Trading  

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Technical assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.   

• Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

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 best-in-class professionals.

• 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 2027 or after 2026 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:

If you're ready to take the next step in your career and work on one of the most exciting trading floors in mainland China, we’d love to hear from you. Apply now via the form below. Applications close 16 March 2026.

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

• Resume

• Cover letter (optional)

For any other inquiries, contact us at chinacareers@optiver.com.au

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.

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.

PRIVACY DISCLAIMER

Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。

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.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Scopely is looking for a Client Engineer to join an unannounced title based in our Shanghai office (5 days in the office).

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

We are in the early stages of development on an ambitious mobile game in China, and we’re assembling a team of passionate game makers to craft unforgettable characters and immersive adventures that players will love.

What You Will Do

We are looking for a Client Engineer to help build the next generation of our games. You will work with a team of passionate engineers while developing core systems and features that power large-scale, real-time experiences for our unannounced game title. You’ll work on complex technical challenges involving real-time interaction, large-scale systems, and a persistent shared world used by tens of millions of players.

• Develop, and maintain key client-side components that enable rich, scalable game experiences.
• Partner closely with server, product, design, and other cross-functional teams to ensure technical alignment and product quality.
• Apply engineering best practices, including code reviews, unit testing, load testing, and performance optimization.
• Troubleshoot complex issues across mobile platforms to ensure stability and uptime for live systems.
• Participate in regular in-person meetings and collaboration sessions (role requires 5 days/week in office).

What We're Looking For

• Experience developing commercial games in Unity, C#
• Experience with at least one of the following: 
• Mobile native coding (Java/Kotlin for Android, ObjC/Swift for iOS, C/C++ for native)
• Network programming, cloud computing and server debugging
• Graphics programming for 3D games
• Familiar with Git, Bash and Gradle
• Strong problem solving and communication skills
• Professional proficiency in both Mandarin and English
• BS / MS in Computer Science or Software Engineering or equivalent

Bonus Points 

• Experience with profiling and optimization for mobile
• Experience with developing productivity tools and creating efficient procedures
• Rich experience in playing mobile games and console games
• Experience leading a team: task breakdown&scoping, code reviews, mentoring junior devs, prototyping, etc.
• Excellent verbal English communication

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Scopely is looking for a Senior/Staff Server Engineer to join an unannounced title based in our Shanghai office (5 days in the office).

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

We are in the early stages of development on an ambitious mobile game in China, and we’re assembling a team of passionate game makers to craft unforgettable characters and immersive adventures that players will love.

What You Will Do 

We are looking for a Server Engineer to build the next generation of our games. You will work with a team of passionate engineers while developing core systems and features that power large-scale, real-time experiences for our game. You’ll work on complex technical challenges involving real-time interaction, large-scale systems, and a persistent shared world used by tens of millions of players.

What We’re Looking For 

• Experience in building, and maintaining scalable, production-grade distributed systems. Deep understanding of networked and distributed systems, cloud security best practices, and performance optimization. Familiarity with network protocols for real-time communication, such as gRPC and WebSocket.
• Programming Languages: Proficiency in one or more of Java, Go, C#, Python
• Familiar with Git, Bash and Gradle
• Professional proficiency in both Mandarin and English
• BS / MS in Computer Science or Software Engineering or equivalent

Bonus Points 

• You have experience shipping at least one online game or app
• Experience in managing IaaS environments and deploying on cloud platforms such as Alibaba Cloud (Alicloud), AWS, Azure, or GCP. Proficiency with Kubernetes cluster management, infrastructure as code tools like Terraform
• Experience using data processing frameworks and data warehouse
• Experience using AI tools to speed up the development lifecycle and improve efficiency
• Experience leading a team: task breakdown& scoping, code reviews, mentoring junior devs, prototyping, etc. 
• Excellent verbal English communication

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!