
Susquehanna’s Treasury team is seeking a technically strong Financial Data Analyst to focus on counterparty analytics and reporting to help drive strategic decisions. This is a highly analytical, project-oriented role requiring the design and development of data-driven tools and reporting frameworks using Python, SQL, and HTML. The position combines counterparty risk analysis, financial normalization, relationship economics, and treasury strategy within a fast-paced proprietary trading environment.
Key Responsibilities
Required Qualifications
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.
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At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning to uncover actionable insights and driving data-informed decisions from predictive modeling to strategic execution.
Today, Susquehanna has over 3,200 employees in 17+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.