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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.
Job Responsibility:
Drive innovation from the centre of the trading floor
Leverage expertise in probability, statistics, numerical analysis, stochastic optimisation, and machine learning
Play a pivotal role in developing and refining trading strategies
Gain exposure to all phases of the work of quantitative researchers including problem conceptualisation, modelling, strategy back-testing and iteration, implementation, and monitoring
Requirements:
Research-minded: enjoy diving deep into a question and building mathematical models to reveal patterns in vast amounts of data
Analytical & detail-oriented: approach problems with a curious and analytical mindset – building models, interpreting data, and uncovering insights with precision
Clear communicator: enjoy building relationships, comfortable sharing ideas, expressing thoughts, and listening to the views of others
Soon-to-be research master’s/PhD graduate or post-doc: completed research in a quantitative discipline and available to join the graduate programme in June 2026