Overview
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
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.
