Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.
This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
What You'll Do
* Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
* Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
* Design and run experiments using the latest ML tools and frameworks
* Develop automation tools to streamline research and system development
* Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behaviour
* Partner with engineering teams to implement and test models in production environments
What we're looking for
* Post-graduate degree in machine learning or a related discipline with publications at top tier conferences, or professional experience proposing novel machine learning algorithms.
* 4+ years experience in building and applying machine learning techniques.
* Demonstrated experience working with and drawing conclusions from large datasets.
* Proficient programming skills in Python and/or C++.
* Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
* Hands-on experience applying deep learning on time series data
* Strong foundation in mathematics, statistics, and algorithm design
* Excellent problem-solving skills with a creative, research-driven mindset
* Demonstrated ability to work collaboratively in team-oriented environments
* A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
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