Susquehanna International Group, Quantitative Research
Internship Description
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
Susquehanna does not accept unsolicited resumes from
recruiters or search firms. 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.
We don’t post salary ranges externally so any salary estimate you see listed on a third party website was not provided by SIG and may not be accurate. SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG.
We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://careers.sig.com/job/9400/Machine-Learning-Internship-PhD-2026

- Web Page: https://sig.com/