Python Developer | Sports & Predictions | Experienced Hire
About The Position
Susquehanna is hiring Python Engineers to build and evolve trader-facing applications that support data analysis, visualization, and decision-making across its trading and development desks in the prediction markets team. The team specializes in geopolitical and sports analytics globally, and this role will help build a next-generation sports trading system as part of an early-stage initiative focused on product development. The role combines data engineering, application development, and quantitative tooling. It focuses on delivering systems used in backtesting, analytics, and real-time trading workflows. The Python Developer works closely with traders, quantitative analysts, and technologists to turn data into actionable insights and scalable tools. Susquehanna is a global quantitative trading firm whose collaborative, intellectually driven culture brings researchers, engineers, and traders together to develop strategies in a systematic trading environment. The firm applies machine learning and advanced quantitative research to large datasets to uncover insights and build strategies, combining market expertise with technology to solve complex problems.
Requirements
- At least 3 years of professional experience building Python applications or data systems.
- Strong Python skills, including experience with Pandas, NumPy, and data-processing libraries.
- Experience with backend frameworks such as Flask, FastAPI, or similar.
- Experience working with data pipelines and structured or unstructured datasets.
- Experience working with APIs and real-time data feeds.
- Experience with SQL and database systems.
- Experience using AI tools to improve code quality, performance, and developer productivity.
Nice To Haves
- Familiarity with data visualization tools.
- Exposure to real-time systems or event-driven architecture.
Responsibilities
- Research, design, and develop systems used in backtesting and data analysis.
- Build Python-based applications and tools that provide tactical analytics for trading decisions.
- Develop strategy monitoring and diagnostics.
- Develop ad-hoc tools and systematic data solutions.
- Improve trading workflows and optimize performance.
- Design and maintain data pipelines and datasets supporting research and trading.
- Refine systems based on desk feedback and evolving trading strategies.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
