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 behavior
* Partner with engineering teams to implement and test models in production environments
What we're looking for
We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
* PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field
* Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
* A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
* Strong 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
Why Join Us?
* Collaborate with a world-class team of researchers, engineers, and traders
* Gain access to best-in-class financial data and high-performance computing resources
* Directly impact real-time trading performance through your work
* Thrive in a collaborative, intellectually rigorous environment with a global footprint
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.