Quantitative Developer | Core Data Sets | Experienced Hire

Design, develop, and scale our data framework with an eye for efficiency and robustness

Build packages used exclusively by expert users to evolve our signal generation technology

Have greenfield development opportunities to optimize existing tooling from scratch

At least 3+ years of experience in Python or C++, developing software with strict performance requirements

A deep appreciation for performance and benchmarking, including experience in large scale computing problems and performance trade-offs

Strong systems fundamentals (virtual memory, numa, io, networking, etc.)

Deep Linux knowledge

Experience in Python data analysis and/or low level Python

Strong understanding of data structures and algorithms

Enthusiasm for working with data, especially large sets of data; good aesthetics for cleanliness and correctness in data

Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent; advanced degree is preferred

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.