One thing I appreciate about my role at Susquehanna is how often I work on something new, as the dynamic nature of the market means there are constantly novel problems.

With the support of a data processing team, I use data to figure out important metrics for trading strategies, and then consider what that metric says about how we're trading. I also spend time talking to other traders about those metrics and whether they find them valuable and helpful to their trading. 

– Quantitative Systematic Trader, US

The ability to develop a new idea or approach to a problem is far more valued than having a preexisting knowledge of finance. Moreover, Susquehanna provides ample resources to aide with learning about finance, including a 3-month long class in finance, a mentorship program, and a starter project designed to help cut one’s teeth in finance. 

– Quantitative Researcher, Dublin

I left a data scientist role at a tech firm to work at Susquehanna. I found myself wanting to work in a more fast-paced environment where the problems and objectives are, relatively speaking, more well-defined. This is the case at Susquehanna, where I’m able to invest more mental energy in solving problems and putting my effort and creativity into this process. I enjoy being able to tackle clear problems and have my work see an immediate impact on trading. I enjoy having feedback loops in place, from the market and from peers, to improve my understanding of how markets behave.

– Quantitative Systematic Trader, Sydney