Machine Learning Researcher - PhD: 2026

What You'll Do

• Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
• Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
• Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
• Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
• Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
• Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What We're Looking For

• 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.
• A 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.

Qualifications

• Visa sponsorship is available for this position.

Pay

The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.