Machine Learning Internship - PhD: 2027

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 25,000 - 40,000; Full time

Benefits offered by this job

One-on-one mentorship from experienced researchers

Access to unparalleled financial data and computing resources

Job summary

Susquehanna International Group in Bala Cynwyd is offering a Machine Learning PhD Internship that provides a 10-week immersive experience for candidates passionate about solving complex financial problems using machine learning. Interns will collaborate on impactful projects within the full-time research team, applying ML techniques to vast datasets and gaining mentorship. Candidates should be pursuing a PhD in related fields, have a strong publication record, and hands-on experience with machine learning frameworks like PyTorch and TensorFlow.

Qualifications

• Strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR.
• Proven experience applying machine learning techniques in a professional or academic setting.
• Deep interest in solving complex problems.

Responsibilities

• Conduct research and develop ML models to identify patterns in noisy data.
• Collaborate with researchers and traders to improve existing models.
• Design and run experiments using the latest ML tools.

Skills

Machine learning techniques

Statistical analysis

Data science

PyTorch

TensorFlow

Education

Currently pursuing a PhD in Computer Science or related field

Job 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

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.