Jobs via eFinancialCareers · 6 months ago
Machine Learning Researcher - PhD: 2026 - Susquehanna International Group
Susquehanna International Group is expanding its Machine Learning group and is looking for exceptional researchers to join their team. As a Machine Learning Researcher, you will apply advanced ML techniques to enhance trading strategies and decision-making processes, leveraging high-quality financial datasets.
Computer Software
Responsibilities
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
Qualification
Required
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
Benefits
Visa sponsorship is available for this position.
Company
Jobs via eFinancialCareers
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Funding
Current Stage
Growth StageCompany data provided by crunchbase