Front Office Python Engineer — Trading Analytics

Susquehanna International Group

Bala Cynwyd (PA)

On-site

USD 120,000 - 180,000

Full time

13 days ago
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Job summary

Susquehanna International Group seeks a Front Office Python Engineer to build trader-facing applications powering data analysis, visualization, and decision-making across trading desks. You will join a team focused on backtesting, analytics, and real-time trading workflows.

This role combines data engineering, application development, and quantitative tooling to turn data into actionable tools, working closely with traders and quants to enhance trading strategies.

Qualifications

  • 3+ years of professional experience building Python applications or data systems.
  • Strong Python skills, including experience with: Pandas, NumPy, and data processing libraries
  • 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

Responsibilities

  • 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

Skills

Python
Pandas
NumPy
Flask/FastAPI
Data Pipelines
APIs
SQL
AI tools
Data Visualization

Tools

Docker

Job description

Susquehanna International Group seeks a Front Office Python Engineer to build trader-facing applications powering data analysis, visualization, and decision-making across trading desks. You will join a team focused on backtesting, analytics, and real-time trading workflows.

This role combines data engineering, application development, and quantitative tooling to turn data into actionable tools, working closely with traders and quants to enhance trading strategies.

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