Front Office Python Engineer: Trading Analytics & Backtesting

Susquehanna International Group, LLP; Lower Merion Township (Montgomery County); On-site; USD 140,000 - 230,000; Full time

Job summary

Susquehanna International Group, LLP is seeking a Front Office Python Engineer to build trader-facing applications that empower data analysis, visualization, and decision-making across trading desks.

The role blends data engineering with application development and quantitative tooling, focusing on backtesting, analytics, and real-time trading workflows. Collaboration with traders, quants, and technologists will turn data into scalable tools and insights.

Qualifications

• 3+ years of professional experience building Python applications or data systems.
• Strong Python skills, including experience with Pandas and NumPy.
• Experience with backend frameworks such as Flask or FastAPI.
• Experience with data pipelines and structured/unstructured datasets, APIs, real-time data feeds, SQL, and databases.
• Familiarity with data visualization tools and event-driven architectures.

Responsibilities

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

Skills

Python

Pandas

NumPy

APIs

SQL

Data visualization

Event-driven

Tools

Flask

FastAPI

Job description

Susquehanna International Group, LLP is seeking a Front Office Python Engineer to build trader-facing applications that empower data analysis, visualization, and decision-making across trading desks.

The role blends data engineering with application development and quantitative tooling, focusing on backtesting, analytics, and real-time trading workflows. Collaboration with traders, quants, and technologists will turn data into scalable tools and insights.