Susquehanna International Group, LLP, Quantitative Research
Industrial Engineering
Mathematics
Operations Research
Management Science & Engineering (more...)
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 are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.sig.com/job/9400/Machine-Learning-Internship-PhD-2026

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