3+ years of experience in Python application or data system development
Proficient in Python with expertise in Pandas, NumPy, and data processing libraries
Experience with backend frameworks like Flask or FastAPI
Skilled in managing data pipelines and working with structured/unstructured datasets
Familiar with APIs, real-time data feeds, SQL, and database systems
Knowledge of AI tools for enhancing code quality and developer productivity
Exposure to data visualization tools and real-time systems
Responsibilities
Research, design, and develop systems for backtesting and data analysis
Build Python applications that provide tactical analytics for trading decisions
Monitor and diagnose trading strategies
Develop ad-hoc tools and systematic data solutions
Enhance trading workflows and optimize performance
Design and maintain data pipelines supporting research and trading
Refine systems based on feedback and evolving trading strategies
Benefits
Opportunity to work on next-gen sports trading systems
Engagement with a team focused on geopolitical and sports analytics
Collaboration with traders and quantitative analysts
Involvement in influential product development
Early-stage initiative with potential for significant impact
Full 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.
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
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About Susquehanna International Group
Susquehanna International Group is a global quantitative trading firm that was founded in 1987. The company specializes in trading options, futures, equities, and other securities. It has offices in North America, Europe, and Asia and employs over 2,500 people. The company is known for its innovative trading strategies and advanced technology. It is also involved in venture capital and private equity investments.
