ML Researcher: Time-Series & Trading Signals

Susquehanna International Group; New York (NY); On-site; USD 255,000 - 345,000; Full time

Job summary

Susquehanna International Group is expanding its Machine Learning group and seeks exceptional researchers to join as Machine Learning Researcher. You will apply advanced ML techniques to forecasting challenges, including time series analysis and natural language understanding, influencing trading strategies and decision-making processes.

We are looking for researchers with a proven track record in applying deep learning to high-impact problems, with a strong publication record and

Qualifications

• 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
• Visa sponsorship is available for this position

Responsibilities

• 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

Skills

Python

C++

PyTorch

TensorFlow

Deep learning

Time series

Collaboration

Research mindset

Education

PhD in CS/ML/Math/Physics/Stats

Job description

Susquehanna International Group is expanding its Machine Learning group and seeks exceptional researchers to join as Machine Learning Researcher. You will apply advanced ML techniques to forecasting challenges, including time series analysis and natural language understanding, influencing trading strategies and decision-making processes.

We are looking for researchers with a proven track record in applying deep learning to high-impact problems, with a strong publication record and