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 doConduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deploymentCollaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approachesDesign and run experiments using the latest ML tools and frameworksDevelop automation tools to streamline research and system developmentApply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behaviorPartner with engineering teams to implement and test models in production environmentsOverviewSusquehanna 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 doConduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deploymentCollaborate with researchers, developers,



and traders to improve existing models and explore current algorithmic approachesDesign and run experiments using the latest ML tools and frameworksDevelop automation tools to streamline research and system developmentApply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behaviorPartner with engineering teams to implement and test models in production environmentsWhat we're looking forPhD in computer science, machine learning, mathematics, physics, statistics, or a related fieldStrong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systemsA strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLRStrong programming skills in Python and/or C++Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environmentsHands-on experience applying deep learning on time series dataStrong foundation in mathematics, statistics, and algorithm designExcellent problem-solving skills with a creative, research-driven mindsetDemonstrated ability to work collaboratively in team-oriented environmentsA passion for solving complex problems and a drive to innovate in a fast-paced, competitive environmentWhat we offerCollaborate with a world-class team of researchers, engineers, and tradersGain access to best-in-class financial data and high-performance computing resourcesDirectly impact real-time trading performance through your workThrive in a collaborative, intellectually rigorous environment with a global footprintAbout SusquehannaSusquehanna 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 .




Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-GG1#LI-OnsitePhD in computer science, machine learning, mathematics, physics, statistics, or a related fieldStrong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systemsA solid publication record in top-tier conferences such as NeurIPS, ICML, or ICLRStrong programming skills in Python and/or C++Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environmentsHands-on experience applying deep learning on time series dataStrong foundation in mathematics, statistics, and algorithm designExcellent problem-solving skills with a creative, research-driven mindsetDemonstrated ability to work collaboratively in team-oriented environmentsA passion for solving complex problems and a drive to innovate in a fast-paced, competitive environmentWhat we offerCollaborate with a world-class team of researchers, engineers, and tradersGain access to best-in-class financial data and high-performance computing resourcesDirectly impact real-time trading performance through your workThrive in a collaborative, intellectually rigorous environment with a global footprintAbout SusquehannaSusquehanna 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 .
Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-GG1#LI-OnsiteThis description was published by Susquehanna International Group (SIG).
Applications are handled on their careers site: we are not the employer and cannot process them.Next stepApply at Susquehanna International Group (SIG)Apply now Opens the firm's own careers site.SIG is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making.
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📌 Senior Ml Researcher – Time Series & Trading Models (Victoria)
🏢 Trading Interview
📍 Victoria