Python Developer | Sports & Predictions | Experienced Hire

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 140,000 - 230,000; Full time

Job summary

Susquehanna International is looking for a Front Office Python Engineer to build trader-facing applications for data analysis, visualization, and decision support in our prediction markets team.

The role combines data engineering, application development, and quantitative tooling to support backtesting, analytics, and real-time trading workflows. You will work with traders, quants, and technologists to turn data into actionable insights.

Qualifications

• 3+ years of professional experience building Python applications or data systems.
• Strong Python skills with Pandas and NumPy for data processing.
• Experience with backend frameworks (Flask, FastAPI) and APIs.
• Familiarity with data pipelines, SQL/databases, and data visualization tools.

Responsibilities

• Research, design, and develop systems used in backtesting and data analysis.
• Build Python-based applications and tools delivering tactical analytics for trading decisions.
• Monitor strategy performance and diagnose issues in production.
• Develop ad-hoc tools and systematic data solutions for trading workflows.
• Improve trading workflows and optimize performance.
• Design and maintain data pipelines and datasets supporting research and trading.
• Iterate on systems based on desk feedback and evolving strategies.

Job description

Overview

Front Office Python Engineer - Trading Applications We are hiring Python Engineers to build and evolve trader-facing applications that power data analysis, visualization, and decision-making across trading and development desk in our prediction markets team.

Overview Front Office Python Engineer - Trading Applications We are hiring Python Engineers to build and evolve trader-facing applications that power data analysis, visualization, and decision-making across trading and development desk in 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. This role combines data engineering, application development, and quantitative tooling, with a focus on delivering systems used in backtesting, analytics, and real-time trading workflows. You will work closely with traders, quantitative analysts, and technologists to turn data into actionable insights and scalable tools.

What You’ll Work On

• Research, design, and develop systems used in backtesting and data analysis
• Build Python-based applications and tools that deliver tactical analytics for trading decisions
• Strategy monitoring and diagnostics
• Develop both ad-hoc tools and systematic data solutions
• Improve trading workflows and optimize performance
• Design and maintain data pipelines and datasets supporting research and trading
• Continuously refine systems based on desk feedback and evolving trading strategies

What We're Looking For

• 3+ years of professional experience building Python applications or data systems
• Strong Python skills, including experience with:
  • Pandas, NumPy, and data processing libraries
  • Backend frameworks (Flask, FastAPI, or similar)
• Experience working with:
  • Data pipelines and structured/unstructured datasets
  • APIs and real-time data feeds
  • SQL and database systems
  • AI tools to improve code quality, performance, and developer productivity
• Familiarity with:
  • Data visualization tools
  • Exposure to real-time systems or event-driven architecture

About Susquehanna 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.