About the role

What will you do at Susquehanna International Group?

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 desks.

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.

#LI-LM1

Which skills does this role require?

PythonPandasNumPyData EngineeringFlaskFastAPISQLData PipelinesQuantitative AnalysisTrading SystemsBacktestingData VisualizationReal-time SystemsEvent-driven ArchitectureAPI DevelopmentMachine LearningTrading ApplicationsQuantitative ToolingAnalyticsReal-time TradingDatabase SystemsAI ToolsQuantitative TradingSystematic Trading

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