Python Software Engineer (Digital Assets)

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

Zusammenfassung

IMC Trading is seeking a Python Software Engineer to work with trading and engineering teams on applications, tools, and automation. You’ll build a Python analytics ecosystem, drawing data from trading systems, and create reliable, scalable tools in collaboration with traders.

You will deliver end-to-end product development, from requirements gathering to production deployment, and participate in automated testing and daily deployments in a fast-paced environment.

Qualifikationen

• Master's or PhD in a related discipline.
• 2-3 years of professional Python development experience.
• Strong CS fundamentals; ability to adapt to Java/Scala/C++/Go.
• Hands-on experience with Python-based analytics—Polars, Pandas, NumPy, SciPy, TensorFlow.
• Proven ability to handle large datasets, architect and optimize data pipelines.
• Kubernetes and Docker experience is a plus.
• Calculus, probability, statistics and optimization basics.

Aufgaben

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

Kenntnisse

Python development

Statistical analysis

Data engineering

Python ML

Data pipelines

Kubernetes

Docker

Java/Scala/C++/Go

Big data

CS fundamentals

Ausbildung

Master's or PhD in a related field

Tools

Polars

Pandas

NumPy

SciPy

TensorFlow

Jobbeschreibung

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

As a Python Software Engineer, you will work closely with our trading and engineering teams on a variety of applications, tools and automation projects. You'll be placed in an environment consisting primarily of a large Python analysis ecosystem drawing data from various sources including our own trading systems. You'll build analysis & visualisation tools at the heart of the business logic, in close collaboration with the traders who use them. Your work involves both interpreting ideas, coming up with your own, and efficiently implementing these into tools that are reliable, scalable and performant.

Together with traders, researchers and engineers, you deliver challenging projects, while taking ownership for end-to-end product development - from requirements gathering to production. You'll write reliable and scalable software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you'll be constantly challenged to consider trade-offs between throughput, simplicity, scalability and maintainability.

Your core responsibilities:

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

Your skills and experience:

• Master's or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline
• 2-3 years of professional Python development experience
• solid computer science knowledge, has experience or capability to quickly adapt to additional languages such as Java, Scala, C++, Go, etc.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow)
• Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively
• Experience with orchestration and containerization tools like Kubernetes and Docker is a plus
• Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial

Location and office culture:

• Note that this is an onsite role, with some but limited flexibility for working from home
• You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
• One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
• We give people lots of responsibility and the support they need to make an impact from day one
• We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices

About us:

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.