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Key skills for this role
Work with quant researchers to understand our pricing logic and implement models in C++
Tanslate complex mathematical models into software applications
Develop and improve our critical options pricing applications in a performance demanding environment and handle large scale data
Integrate pricing with existing trading infrastructure and data systems
Ensure seamless data flow and interoperability between systems in our low latency trading environment
At least 5+ years of software development experience in C++
Hands-on experience with numerical optimization methods for model calibration and tuning
Excellent problem-solving skills with a strong ability to understand and implement complex mathematical models
Strong communication skills, with the ability to convey technical concepts clearly to a wide range of stakeholders such as researchers
Familiarity with financial concepts and instruments related to quantitative trading, pricing, or valuation is a plus
Previous experience in options trading is a plus
Minimum of a Bachelor’s degree in computer science, mathematics, or related STEM field is required
Experience with Python, notebooks, and data analysis is a plus
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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Full-time
Senior · 5+ years experience
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