Machine Learning Quantitative Researcher – DDT – Experienced Hire

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 behaviour
• Partner with engineering teams to implement and test models in production environments

What we’re looking for

• Post-graduate degree in machine learning or a related discipline with publications at top tier conferences, or professional experience proposing novel machine learning algorithms.
• 4+ years experience in building and applying machine learning techniques.
• Demonstrated experience working with and drawing conclusions from large datasets.
• Proficient 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

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