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.
Questions? Get in touch with the recruitment team at [email protected].
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.
Skills Required
- Master's or PhD in Computer Science, Mathematics, Statistics, or a related field with focus on machine learning or deep learning.
- Deep understanding of machine learning and deep learning principles, theories, and concepts.
- Proven experience with deep learning frameworks such as PyTorch, TensorFlow, Keras.
- Strong programming skills in Python and familiarity with data analysis tools.
- Excellent problem-solving skills and ability to work independently and in teams.
- Outstanding communication skills.
What We Do
Optiver’s story began over 30 years ago, when we started business as a single trader on the floor of Amsterdam’s options exchange. Today, we are at the forefront of trading and technology as a leading global electronic market maker, focused on pricing, execution and risk management.
Why Work With Us
People at Optiver love challenges, welcome collaboration, and strive to be better tomorrow than they are today. Improving the market is an extraordinary challenge that requires a carefully crafted approach. Optiver provides a collaborative working environment to tackle these challenges. In fact, it is this way of working that sets us apart.
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