Python Software Engineer - Digital Assets

Role

Permanent

Mid

Software Development

Logistics

Zug, Switzerland

On-site

100%

Closes in 30 days

Requirements

2+ yrs exp

Master's

Skills

NumPyData visualizationDockerMachine learningKubernetesPythonTensorFlowpandasComputer ScienceData AnalysisData-Ingestion pipelinesPerformance optimization

Description

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.

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.

Requirements

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.

Tech stack

PythonPolarsPandasNumPySciPyTensorFlowKubernetesDocker

Benefits

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.

Company

IMC

Finance

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.