Data Engineer | Sports | Experienced Hire

Susquehanna International Group, LLP•Bala Cynwyd (Philadelphia Area), PA

63d•Onsite

About The Position

Susquehanna is one of the world’s leading options market makers, providing liquidity across global financial markets through cutting-edge technology, quantitative research, and deep trading expertise. We are looking for an experienced Quantitative Data Engineer to join our Prediction Markets team. We specialize in geopolitical and sports analytics across the globe. This is an opportunity to build out a next gen sports trading system within an early-stage initiative focused on influential product development. Technology is at the forefront of everything we do, requiring cutting-edge and innovative technology expertise. Our technologists at Susquehanna enjoy working on highly complex in-house software that runs on the most modern platforms available, solving a wide range of problems to help us grow. Our people continue to grow and learn throughout their careers as market demands change the nature of our environment, thanks to our flat structure and collaborative environment. Join us and be part of a collaborative team that values continuous learning and growth. Are you passionate about sports wagering and trading? Do you thrive in a fast-paced, dynamic environment where innovation is at the forefront? If so, we have an exciting opportunity for you!

Requirements

Experience with numeric data storage methodologies.
Experience with processing of large and varied data sets.
Ability to understand mathematical algorithms and develop high-performance implementations
Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
Strong proficiency in the python data stack: NumPy, pandas, etc.
A solid understanding of Agile development methodologies.
PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
A keen interest in sports wagering, trading, and technology.
Self-motivated, detail-oriented, and able to adapt to changing priorities.
Excellent interpersonal and communication skills.

Nice To Haves

Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.

Responsibilities

Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
Assist with researching new trading opportunities.
Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets