Software Developer | Market Data | Libraries & Tools

You will work collaboratively with other technologists, traders, and quants to design and engineer tools aimed at debugging, troubleshooting, analysis, and management of market data, while also interfacing with RESTful services across both Linux and Windows environments in C++ and Python.

Software Development, Data Structures, REST (Representational State Transfer), Linux Operating System, Identify Issues, Python Programming/Scripting Language, Microsoft Windows Operating System, C++ Programming Language, Data Management, Technical/Engineering Design, * BS or MS in Computer Science, Computer Engineering or a similar major.

• Strong understanding of high-performance computing using C++ is required
• Excellent attention to detail and accuracy and a thorough understanding of performance optimization / latency reduction methodologies
• Ability to work closely with other software developers, traders, quants, and infrastructure teams

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.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.