Machine Learning Researcher

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 150,000 - 190,000; Full time

Job summary

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

You will collaborate with researchers, developers and traders, design experiments, deploy models at scale, and develop automation tools to accelerate research and production efforts in a fast-paced environment.

Qualifications

• PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field.
• 5 years of experience building impactful deep learning systems in academia or industry.
• Strong publication record in NeurIPS, ICML, ICLR or similar venues.
• Proficiency in Python and/or C.
• Hands-on experience with ML libraries (PyTorch, TensorFlow) in production.
• Experience applying deep learning to time series data.
• Solid foundation in math, statistics, and algorithm design.
• Excellent problem-solving and collaboration skills.
• A passion for solving complex problems in a fast-paced setting.

Responsibilities

• Conduct research and develop ML models to enhance forecasting and trading strategies.
• Collaborate with researchers, developers, and traders to improve models and explore new approaches.
• Design and run experiments using state-of-the-art ML tools and frameworks.
• Develop automation tools to streamline research and system development.
• Apply rigorous scientific methods to extract signals from complex datasets and inform market understanding.
• Partner with engineering teams to implement and test models in production environments.

Skills

Python

C

Deep learning

Time series

Mathematics

Problem solving

Team collaboration

Education

PhD in CS/ML/Math/Physics/Stats

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.

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.

What You’ll Do

• Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
• 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
• Develop automation tools to streamline research and system development
• Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
• Partner with engineering teams to implement and test models in production environments

What we’re looking for

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.

• 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