Graduate Software Engineer Digital Assets

IMC Trading; Zug; On-site; CHF 90,000 - 130,000; Full time

Job summary

IMC Trading is seeking a Graduate Software Engineer to join the core engineering team and contribute to a proprietary low-latency trading system. You will acquire market data, implement ETL processes, and collaborate with traders and researchers to improve trading results.

Your core responsibilities include building scalable data pipelines, working with batch and real-time streaming systems, and delivering high-performance data solutions across exchanges and venues.

Qualifications

• Master or bachelor degree in Computer Science, Mathematics, Physics, or another related technical field.
• Strong programming skills in Python and at least one statically typed language (e.g., Java, Scala, Go, C++, or Rust).
• Experience with Python data analysis tools such as Jupyter Notebook, Pandas, NumPy, or modern distributed DataFrame frameworks.
• Solid CS fundamentals: algorithms, data structures, concurrency/parallelism, networking, software architecture, clean code.
• Performance-oriented mindset; interest in scalable distributed systems, latency, throughput, memory efficiency, serialization, backpressure, fault tolerance, and state management.
• Exposure to data engineering and data lake tech like Spark, Flink, Iceberg, ClickHouse, Kafka, Airflow, Dagster; Kubernetes, Docker, CI/CD, GitOps, observability is a plus.
• Excellent written and spoken English; collaboration in international team.
• Passionate about designing, developing, testing, deploying, maintaining and improving software.

Responsibilities

• Design, develop, maintain, and improve the in-house data infrastructure powering market and trading data platforms, including batch and real-time streaming pipelines.
• Build and extend scalable data pipelines to support more exchanges and new business domains.
• Collaborate with software engineers, researchers, and traders to deliver reliable, high-performance data solutions.
• Contribute across the software development lifecycle: design, implementation, testing, deployment, monitoring, improvement.
• Improve performance, reliability, scalability, and observability of distributed data processing systems.

Skills

Python

Statically typed languages

Jupyter Notebook

Pandas

NumPy

Algorithms

Data structures

Concurrency/Parallelism

Networking fundamentals

Software architecture

Kubernetes

Docker

CI/CD

GitOps

Observability/ Monitoring

Education

Master or Bachelor in Computer Science, Mathematics, Physics, or related field

Tools

Apache Spark

Apache Flink

Apache Iceberg

ClickHouse

Apache Kafka

Apache Airflow

Dagster

Job description

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 Graduate Software Engineer, you‘ll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results.

Your Core Responsibilities:

• Design, develop, maintain, and improve the in-house data infrastructure powering our market and trading data platforms, covering both batch and real-time streaming pipelines.
• Build and extend scalable data pipelines to support additional exchanges, trading venues, and new business domains.
• Work closely with software engineers, quantitative researchers, and traders to deliver reliable, high-performance data solutions for research and production trading.
• Contribute throughout the software development lifecycle, from design and implementation to testing, deployment, monitoring, and continuous improvement.
• Help improve the performance, reliability, scalability, and observability of our distributed data processing systems.

Your Skills and Experience:

• Master or bachelor degree in Computer Science, Mathematics, Physics, or another related technical field.
• Strong programming skills in Python and at least one statically typed language, such as Java, Scala, Go, C++, or Rust.
• Experience with Python data analysis tools such as Jupyter Notebook, Pandas, NumPy, or modern distributed DataFrame frameworks through coursework, research, internships, or personal projects.
• Solid computer science fundamentals, including algorithms, data structures, concurrency and parallelism, networking fundamentals, software architecture, and writing clean, maintainable code.
• A performance-oriented mindset with an interest in building scalable distributed systems and understanding concepts such as latency, throughput, memory efficiency, serialization, backpressure, fault tolerance, and state management.
• Exposure to modern data engineering and data lake technologies such as Apache Spark, Apache Flink, Apache Iceberg, ClickHouse, Apache Kafka, Apache Airflow, Dagster, or similar technologies is a plus.
• Exposure to modern infrastructure technologies such as Kubernetes, Docker, CI/CD, GitOps, observability and monitoring is a plus.
• Excellent written and spoken English, with the ability to collaborate effectively in an international team.
• Passionate about designing, developing, testing, deploying, maintaining, and continuously improving software.

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.