Python Quant Engineer for Data Pipelines & Trading Tools

IMC Trading; Zug; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

IMC Trading in Zug is seeking a Python Software Engineer to collaborate with trading and engineering teams on applications, tools and automation. You’ll build analysis and visualization tools from diverse data sources and work with traders to implement reliable, scalable software that supports research and development.

You’ll own end-to-end product development, from requirements gathering to production deployment, with automated testing and daily deployments to deliver fast feedback while

Qualifikationen

• Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 2–3 years of professional Python development experience.
• Experience with data pipelines, large datasets, and numerical programming.
• Familiarity with machine learning in Python (e.g., Pandas, NumPy, SciPy).
• Experience or capability to adapt to additional languages such as Java, Scala, C++, Go.
• Knowledge of orchestration and containerization like Kubernetes and Docker is a plus.

Aufgaben

• Collaborate closely with researchers and engineers to deliver challenging projects.
• Build, maintain, and enhance research frameworks and data pipelines for trading and quantitative research.
• Curate, transform, and present data in clear formats for traders and researchers.
• Take ownership of end-to-end product development from requirements to production deployment.
• Navigate a complex landscape of diverse systems and technologies, balancing throughput, simplicity, and maintainability.

Kenntnisse

Python

Data pipelines

Pandas

NumPy

Kubernetes

Docker

ML in Python

Large datasets

Java

Scala

C++

Ausbildung

Master’s or Ph.D. in related field

Tools

TensorFlow

Scikit-learn

Jobbeschreibung

IMC Trading in Zug is seeking a Python Software Engineer to collaborate with trading and engineering teams on applications, tools and automation. You’ll build analysis and visualization tools from diverse data sources and work with traders to implement reliable, scalable software that supports research and development.

You’ll own end-to-end product development, from requirements gathering to production deployment, with automated testing and daily deployments to deliver fast feedback while