Susquehanna International Group
Machine Learning Internship - PhD: 2026
Susquehanna International Group, New York, New York, us, 10261
Overview
Our
Machine Learning PhD Internship
is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
•
Conduct research and develop ML models to identify patterns in noisy, non-stationary data
•
Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
•
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
•
One-on-one mentorship from experienced researchers and technologists
•
Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices
•
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
•
Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making
What we’re looking for •
Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
•
Proven experience applying machine learning techniques in a professional or academic setting
•
Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
•
Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
•
Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment
Why Join Us?
•
Work with a world-class team of researchers and technologists
•
Access to unparalleled financial data and computing resources
•
Opportunity to make a direct impact on trading performance
•
Collaborative, intellectually stimulating environment with global reach
Machine Learning interns will receive a $6000 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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.
Machine Learning PhD Internship
is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.
As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting-edge machine learning at scale to drive data-informed decisions in predictive modeling to strategic execution.
What You Can Expect
•
Conduct research and develop ML models to identify patterns in noisy, non-stationary data
•
Work side-by-side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting-edge ML research and practical implementation
•
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
•
One-on-one mentorship from experienced researchers and technologists
•
Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices
•
Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
•
Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk-aware decision making
What we’re looking for •
Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
•
Proven experience applying machine learning techniques in a professional or academic setting
•
Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
•
Hands-on experience with machine learning frameworks, including PyTorch and TensorFlow
•
Deep interest in solving complex problems and a drive to innovate in a fast-paced, competitive environment
Why Join Us?
•
Work with a world-class team of researchers and technologists
•
Access to unparalleled financial data and computing resources
•
Opportunity to make a direct impact on trading performance
•
Collaborative, intellectually stimulating environment with global reach
Machine Learning interns will receive a $6000 weekly base salary during the ten-week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.
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.