Susquehanna International Group
Quant Developer | Options Trading | Experienced Hire
Susquehanna International Group, Narberth, Pennsylvania, United States, 19072
OverviewSusquehanna International Group (SIG) is looking for a Quantitative Developer with strong Python and PyData skills to join our Options trading desk. Our Strategy Innovation group is a team of developers who are focused on implementing options strategies and building research tools to help optimize those strategies.
We work in a data-rich environment and were looking for someone who would be excited to work with our quantitative researchers and scientists to make sense of our data. This is an exciting opportunity to get an up-close understanding of the strategies and business decisions that drive SIG’s success. You will build research tools, automate studies, and help us turn data into profit.
How you’ll make an impact:
Work alongside our quantitative researchers to help make sense of SIG’s vast data sets
Leverage the PyData stack (Python, NumPy, Pandas, etc.) to build applications/tools used in our research environment
Write, test, and optimize Python code to implement and improve trading algorithms, backtesting frameworks, and data processing pipelines
Identify performance bottlenecks in existing code and algorithms to ensure high efficiency and scalability
What we’re looking for
At least 5+ years of experience within the PyData stack (NumPy, Pandas, SciPy, etc.), ideally in a research-oriented environment
Strong background in data manipulation, data processing, and visualizations at a data-rich organization
Strong communication skills, with the ability to convey technical concepts clearly to a wide range of stakeholders
Prior experience working with quants, researchers, or scientists is ideal
Minimum of a Bachelor’s degree in Computer Science, Mathematics, or related STEM field is required
Experience in an OOP language like C# is a plus
We work in a data-rich environment and were looking for someone who would be excited to work with our quantitative researchers and scientists to make sense of our data. This is an exciting opportunity to get an up-close understanding of the strategies and business decisions that drive SIG’s success. You will build research tools, automate studies, and help us turn data into profit.
How you’ll make an impact:
Work alongside our quantitative researchers to help make sense of SIG’s vast data sets
Leverage the PyData stack (Python, NumPy, Pandas, etc.) to build applications/tools used in our research environment
Write, test, and optimize Python code to implement and improve trading algorithms, backtesting frameworks, and data processing pipelines
Identify performance bottlenecks in existing code and algorithms to ensure high efficiency and scalability
What we’re looking for
At least 5+ years of experience within the PyData stack (NumPy, Pandas, SciPy, etc.), ideally in a research-oriented environment
Strong background in data manipulation, data processing, and visualizations at a data-rich organization
Strong communication skills, with the ability to convey technical concepts clearly to a wide range of stakeholders
Prior experience working with quants, researchers, or scientists is ideal
Minimum of a Bachelor’s degree in Computer Science, Mathematics, or related STEM field is required
Experience in an OOP language like C# is a plus