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Susquehanna International Group

Just Landed

Machine Learning Researcher – PhD Hire – NY/Philadelphia area Susquehanna International Group in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Apr 14, 2027

Country flag

Country

United States

University

Susquehanna International Group

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Keywords

Computer Science
Deep Learning
Mathematics
Time Series Analysis
Forecasting
Feature Engineering
Statistics
Statistical Modelling
Physics
ML

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About this position

Susquehanna International Group is expanding its Machine Learning group within Quantitative Research in Bala Cynwyd, Pennsylvania, and is seeking a Machine Learning Researcher to join its team. The role sits in a global quantitative trading environment where machine learning and advanced quantitative research are used to uncover signals from large financial datasets and support systematic trading strategies.

The researcher will work on forecasting problems spanning time series analysis, natural language understanding, and related machine learning challenges. The position focuses on developing deep learning models that can improve trading signals and strategies across asset classes, with an emphasis on scientific experimentation and translating research outcomes into production-ready models for live trading environments.

The role is embedded in a collaborative environment that brings together researchers, traders, engineers, and developers. The posting highlights access to high-quality financial data and high-performance computing resources, along with the opportunity to influence real-time trading performance through research that is directly connected to market behavior and algorithmic strategy development.

This is a research-intensive industry opening for candidates who want to apply modern machine learning methods to high-impact quantitative problems in a fast-paced trading setting.

Funding details

Available

What's required

PhD in computer science, machine learning, mathematics, physics, statistics, or a related field is required. Applicants should have a strong track record of applying machine learning 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, hands-on experience applying deep learning to time series data, a strong foundation in mathematics, statistics, and algorithm design, excellent problem-solving skills, demonstrated ability to work collaboratively, and a passion for solving complex problems in a fast-paced competitive environment.

How to apply

Apply through the MathJobs posting at the application link provided. Submit the requested application materials through the portal by the deadline.

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