Trading Python Engineer: Real-Time Analytics & Backtesting

SIG Susquehanna; Pennsylvania; Vor Ort; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

SIG Susquehanna is seeking a Front Office Python Engineer to develop trader-facing applications for data analysis, visualization, and decision support across the trading desk. The role blends data engineering, application development, and quantitative tooling to power backtesting, analytics, and real-time trading workflows.

You will work closely with traders and quants to turn data into actionable insights and scalable tools, supporting evolving trading strategies with robust Python systems.

Qualifikationen

• 3+ years of professional Python application or data system experience.
• Strong Python skills with Pandas/NumPy.
• Experience with data pipelines, APIs, and real-time data feeds.
• Familiarity with data visualization tools and event-driven architectures.

Aufgaben

• 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.

Kenntnisse

Python

Pandas

NumPy

APIs

SQL

Data pipelines

Real-time data

Event-driven

Data visualization

Backend frameworks

Tools

Flask

FastAPI

Jobbeschreibung

SIG Susquehanna is seeking a Front Office Python Engineer to develop trader-facing applications for data analysis, visualization, and decision support across the trading desk. The role blends data engineering, application development, and quantitative tooling to power backtesting, analytics, and real-time trading workflows.

You will work closely with traders and quants to turn data into actionable insights and scalable tools, supporting evolving trading strategies with robust Python systems.