澳帝桦（上海）商贸有限公司

WHAT YOU’LL DO As the Facilities Manager, you will be responsible for managing the day to day running of our office and office related projects. Working collaboratively with a small team to ensure standards are met, and mitigating risks to the business. You will also be accountable for: • Creating a safe and healthy work environment • Managing relationships with key stakeholders and ensuring all Workplace Health & Safety requirements and internal controls are met • Incident response and disaster recovery • Working closely with the building managers and owners • Problem management and suggest improvements to tasks and issues • Presenting business cases and project updates to the leadership team • Managing facility vendors to ensure best practice with cost-effective products and service • Environmental projects and assessments WHO YOU ARE: • Optiver needs our Facilities Manager to be someone with: • 3 years or more experience in a similar role • Experienced working under pressure • Ability to work alongside a number of stakeholders with competing priorities • Ability to move heavy devices or furniture • Strong organisational and time management skills • Exemplary incident management skills • Willingness to learn and shows initiative to problem solve • Excellent written and verbal communication skills in both English and Mandarin • Site experience totalling at least 5,000 sq ft and employee headcounts is 150+ WHAT YOU'LL GET • The chance to work alongside best-in-class professionals • Training, mentorship and personal development opportunities • Daily office breakfast, lunch, snacks etc • Sponsored gym membership, sports and leisure activities, plus weekly in-house chair massages • Regular social events, clubs and Friday afternoon drinks Optiver is committed to diversity and inclusion, and it 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. 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 Optiver China Privacy Notice for acknowledging how we collect and process your personal information

WHAT YOU’LL DO As a Software Engineer, you will be responsible for setting architectural direction for parts of our system, delivering large bodies of well-engineered code and owning projects that directly impact Optiver’s cutting-edge trading systems. You will collaborate with fellow Engineers, Traders and Researchers to develop a deep understanding of trading, exchanges and what the 'machine' is doing. You're not attached to tools and technologies, you focus on solving problems. Your challenge is to further innovate and maintain the foundation underlying our wider infrastructure. Some of the things you could be involved in are: • Own the design, development and deployment of services that comprise our globally distributed trading platform • Build partnerships across the business to ensure we're feeding the best ideas into our solutions • Build automated trading stack that runs machine learning models over high-performance servers to execute high-quality trades in low-latency • Continuously improve our trading systems and strategies to optimize for the ever-evolving markets • The difference with technology at Optiver is how fast the pace is, and the direct impact it has on trading. Where traditional software development teams can take months or years to build systems from business requirements, our developers work closely with traders to ensure a short development life cycle and quick feedback on the impact of your work. WHO YOU ARE • You have at least 5 years’ work experience as a Software Engineer • Experience with large scale server side development, and high-throughput, low-latency system optimisations • Practical experience with integrating ML model into production system and optimize ML inference tasks on different hardware accelerators • Technologists who are passionate about software and not only like to learn about it at work, but also like to get involved in their own projects at home • 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 • Experience with making architectural recommendations on IT solutions, design & approach WHAT YOU’LL GET At Optiver, we have a very flat structure. We work extremely closely with our stakeholders, often working as a single team to solve Optiver’s problems. Individually, you are very highly empowered to deliver significant changes, with the support of your team and your leaders. Above all we value the passion of our technical team and foster a collaborative and innovative working environment which nurtures brilliant minds. In return for your expertise, you will be offered a competitive salary package as well as access to a plethora of Optiver-perks. DIVERSITY AND INCLUSION Optiver is committed to diversity and inclusion, and it 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. 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 Optiver China Privacy Notice for acknowledging how we collect and process your personal information.

The key to Optiver’s success as a leading market marker is our people. The Recruitment Team is responsible for hiring top talent from around the world and creating a first-in-class candidate experience. Optiver is looking for a self-starter and organized Recruitment Coordinator to join our Recruitment Team. As a Recruitment Coordinator, you’ll support the team’s hiring strategies by owning a streamlined candidate management and recruitment process, while driving continuous improvement. This is a great opportunity to build a career in Talent Acquisition. Strong performers on the team have built a career in operations and recruitment. WHO WE ARE： 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. Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options and equities in China mainland. Our vision is to become the trusted partner in the development of Chinese financial markets. With the culture of a start-up but the backing of a 35+ year-old trading firm, the Optiver Shanghai office is truly unique. Everyone who joins us will help shape the future of our company and its global impact. Get ready: we are only just beginning. WHAT YOU’LL DO: • Serve as the primary point of contact for candidates, managing scheduling, interviews, travel and queries. • Oversee end-to-end coordination for recruitment programs, including event logistics, travel arrangements, merchandise distribution, and stakeholder communication. • Plan and execute campus talks, external conferences, and in-office engagements, in collaboration with recruiters and business representatives. • Maintain and track candidate pipelines in the ATS, conduct system testing, ensure proper user access, and support compliance and assurance requirements. • Lead keep-in-touch initiatives, networking sessions, and candidate events while leveraging marketing assets and data insights to strengthen long-term engagement. • Partner with Other HR teams, Education, Marketing, and Recruitment Operations teams to identify process efficiencies, refine onboarding strategies, and enhance the overall effectiveness of recruitment programs. • Support broader APAC priorities when needed. WHO YOU ARE: • Bachelor's degree or equivalent experience in human resources, business, or a related field • 1+ years of experience in scheduling, coordination, Recruitment, HR, or other relevant experience is preferred • Proficient Microsoft Office Suite skills • Self-starter with strong organizational and analytical skills, attention to detail and ability to multi-task in a fast-paced environment • Excellent communication in both Mandarin and English • Familiarity with Applicant Tracking Systems (ATS) and other recruitment technology preferred WHAT YOU’LL GET: • A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment. • The chance to work alongside diverse and intelligent peers in a rewarding environment. • Training, mentorship and personal development opportunities. • Daily breakfast, lunch, snacks, and an in-house barista. • Gym membership, sports and leisure activities, plus weekly in-house chair massages • Regular social events, clubs and Friday afternoon drinks.

Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options and equities in China mainland. Our vision is to become the trusted partner in the development of Chinese financial markets. With the culture of a start-up but the backing of a 35+ year-old trading firm, the Optiver Shanghai office is truly unique. Everyone who joins us will help shape the future of our company and its global impact. Get ready: we are only just beginning. Key Responsibilities • Building the compute platform and machine learning libraries for large scale machine learning and simulation workloads • Focus on compute platform stability and efficiency on both CPU and GPU clusters, making the platform observable and scalable • Utilize cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software system • Troubleshoot and resolve issues related to OS, storage, network, and GPUs Challenges You Will Tackle: design, build and improve our compute platform for PB scale data model training and simulations with a wide range of machine learning models by leveraging our existing research infrastructure. Requirements: • Solid experience in running production machine learning infrastructure at a large scale • Experience in designing, deploying, profiling and troubleshooting in Linux-based computing environments • Proficiency in containerization, parallel computing and distributed training algorithms • Experience with storage solutions for large scale, cluster-based data intensive workloads Bonus qualification: • Experience of supporting machine learning researchers or data scientists for production workloads WHAT YOU CAN EXPECT FROM US: In return for you joining our elite team, you will be offered a competitive salary package as well as access to a plethora of Optiver-perks. To hear more about what it is like to work here and our great culture, apply now and take the first step towards the best career move you will ever make! DIVERSITY STATEMENT Optiver is committed to diversity and inclusion, and it 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. 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 Optiver China Privacy Notice for acknowledging how we collect and process your personal information.

Join Optiver to accelerate your growth in the most fascinating and dynamic industry. As a Machine Learning Modelling Engineer, you’ll get to leverage AI and deep learning to thrive in a fast-paced, cutting-edge environment, and apply your advanced degree in a highly impactful role. You will still use your brain to come up with cutting-edge ideas, but instead of working in the abstract you'll make innovations that change the world as soon as you implement them - which often is as quick as the next day! We also believe the best ideas come from working together, so you'll be solving problems as part of a team from day one. This means you'll get instant feedback on all of your lightbulb moments, as well as support and guidance to be at your best. Turn your passion for machine learning into a rewarding career with Optiver. Apply now. WHAT YOU’LL WORK ON: We are seeking an exceptional machine learning modelling engineer. The ideal candidate will have an advanced understanding of neural networks and related machine learning technologies, with experience in implementing and training complex deep learning models. As part of your role, you’ll get to: Leverage on-prem infrastructure to solve substantial challenges in computational and data scale. Drive experimental rigour through repeatable processes on assured data. Collaborate closely with researchers and traders on new experiments, capabilities, and data sources. Design and implement improvements to optimise research productivity and quality. WHAT YOU'LL NEED: A Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning. Deep understanding of the principles, theories, and concepts underlying machine learning and deep learning technologies, including the design and implementation of neural networks. Proven experience with deep learning frameworks such as PyTorch, TensorFlow, Keras, etc. Strong programming skills in Python, familiar with data analysis tools and principles. Excellent problem-solving skills, and the ability to work independently and in teams. Outstanding communication skills. DIVERSITY STATEMENT Optiver is committed to diversity and inclusion, and it 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. 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.

As a Machine Learning Modelling Engineer, you’ll harness your understanding of AI and deep learning to generate impactful insights and drive innovative new strategies that have the potential to transform global financial markets. Your intellectual creativity won’t just be theoretical; you’ll get to turn your cutting-edge ideas into real-world solutions that contribute towards our trading success. You’ll join a team of experienced engineers, who will provide you with guidance and support throughout the program, enabling you to make an impact from the early stages of your Optiver career. By the end of the 8-week internship, you'll have deepened your understanding of the quantitative trading industry. Plus, if you've excelled over the summer, you'll receive an offer to return as Graduate Machine Learning Modelling Engineer. WHAT YOU’LL DO: During the internship, you will have the opportunity to: Leverage AI and deep learning technologies to thrive in a fast-paced, cutting-edge environment. Collaborate closely with researchers and traders on new experiments, capabilities, and data sources. Design and implement improvements to optimise researcher productivity and quality. Blend your own development expertise with the best open-source frameworks and tools. Utilize computing infrastructure to solve substantial challenges in computational and data scale. Drive experimental rigour through repeatable processes on assured data. 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: PhD students who are graduating in or after 2026. Studying a degree in Computer Science, Mathematics, Statistics, or a related field, with a strong focus on machine learning or deep learning. You’ll have an advanced understanding of neural networks and related machine learning technologies, with experience in implementing and training complex deep learning models. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc. Deep understanding of the principles, theories, and concepts underlying machine learning and deep learning technologies, including the design and implementation of neural networks. Strong programming skills in Python, familiar with data engineering tools and principles. Experience with GPUs and other hardware accelerators for deep learning. Excellent problem-solving skills, and the ability to work independently and in teams. Outstanding communication skills.