Machine Learning Researcher - PhD: 2027

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

World-class team

Best-in-class data

High-performance computing

Job summary

Susquehanna International Group in the United States is seeking a Machine Learning Researcher to apply advanced ML to forecasting challenges, including time series analysis and NLP, with direct impact on trading strategies.

You will translate research insights into production-ready models and collaborate with researchers, traders, and developers to deploy, monitor, and iterate on models in live trading environments.

Qualifications

• PhD in CS/ML/related field.
• 5+ years of deep learning experience.
• Top-tier publications in NeurIPS/ICML/ICLR.
• Strong Python and/or C++ programming.
• Experience with PyTorch or TensorFlow in production.
• Hands-on time-series deep learning.
• Solid mathematics and statistics foundation.
• Collaborative, research-driven mindset.

Responsibilities

• Research and develop deep learning models for systematic trading signals across asset classes.
• Collaborate with researchers, traders, and developers to improve alpha generation.
• Design and conduct rigorous experiments using modern ML frameworks to improve predictive signals.
• Apply scientific methods to extract actionable signals from complex datasets.
• Translate research insights into production-ready models for live trading environments.
• Partner with engineering and trading teams to deploy and monitor models.

Skills

Python

C++

Deep learning

Time series

Research

Collaboration

Education

PhD in computer science or related field

Tools

PyTorch

TensorFlow

Job description

Overview

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

What You\'ll Do

• Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
• Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
• Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
• Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
• Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
• Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What We\'re Looking For

• PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
• Strong track record of applying ML 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, especially in production environments
• Hands-on experience applying deep learning on time series data
• Strong foundation in mathematics, statistics, and algorithm design
• Excellent problem-solving skills with a creative, research-driven mindset
• Demonstrated ability to work collaboratively in team-oriented environments
• A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

What We Offer

• Collaborate with a world-class team of researchers, engineers, and traders
• Gain access to best-in-class financial data and high-performance computing resources
• Directly impact real-time trading performance through your work
• Thrive in a collaborative, intellectually rigorous environment with a global footprint

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.

If you\'re a recruiting agency and want to partner with us, please reach out to [e-mail]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.