
The all-in-one cryptocurrency trading platform
OKX is a leading cryptocurrency exchange headquartered in Mahe, Seychelles, serving over 50 million active users across 180 countries. The platform offers a comprehensive suite of services, including crypto trading, NFT marketplaces, and decentralized finance (DeFi) products. With a commitment to se...
OKX provides a comprehensive insurance package covering medical, dental, vision, disability, and life insurance. Employees enjoy paid parental leave, ...
OKX fosters a culture focused on accessibility in cryptocurrency trading, aiming to demystify the crypto space for users of all levels. The company va...

OKX • Hong Kong, Hong Kong SAR
OKX is seeking a Deep Learning Quant Researcher to develop and deploy advanced neural network models for predictive trading strategies. You'll work with Python, TensorFlow, and PyTorch to analyze financial datasets. This role requires experience in machine learning and deep learning.
You have a strong background in deep learning and quantitative research, with experience in developing and deploying neural network models that drive predictive trading strategies. Your expertise in Python is complemented by your proficiency in frameworks like TensorFlow and PyTorch, allowing you to tackle complex financial datasets effectively. You understand the intricacies of optimizing models for low-latency environments and are adept at innovating architectures tailored for high-volume, low-signal markets. Your analytical skills enable you to derive insights from petabytes of market data, including tick-by-tick exchange feeds and order books.
You thrive in collaborative environments, working alongside researchers, engineers, and traders to solve challenging problems in quantitative finance. Your ability to iterate rapidly from concept to production is a testament to your hands-on experience in AI research. You are passionate about leveraging cutting-edge technology to reshape the future of crypto trading and contribute to the financial freedom of individuals.
Experience with GPU clusters and large-scale data processing is a plus, as is familiarity with cross-disciplinary teamwork in fast-paced environments. You are open to learning and adapting to new technologies and methodologies that enhance your research capabilities.
In this role, you will join a dynamic team at OKX, where you will be responsible for developing state-of-the-art neural network models that inform predictive trading strategies. You will work closely with financial datasets, optimizing your models for performance in low-latency environments. Your work will involve innovating on architectures that are specifically designed for high-volume, low-signal markets, ensuring that your solutions are both effective and efficient.
You will have the opportunity to utilize massive GPU clusters to process and analyze petabytes of market data, including tick-by-tick exchange feeds and on-chain analytics. Collaborating with a diverse team of researchers and engineers, you will tackle complex challenges and contribute to the development of cutting-edge trading strategies that leverage AI and machine learning.
Your role will also involve iterating rapidly from concept to production, allowing you to see the direct impact of your work on the trading strategies employed by OKX. You will be expected to stay updated with the latest advancements in AI and machine learning, applying these insights to enhance the effectiveness of your models.
At OKX, you will be part of a leading crypto exchange that values innovation and collaboration. We offer a supportive and diverse work environment where your contributions are recognized and valued. You will have access to the latest technologies and resources to help you excel in your role. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering growth and development within our team. Join us in reshaping the future of crypto and making a meaningful impact in the financial world.
Apply now or save it for later. Get alerts for similar jobs at OKX.