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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: IMC office in Zug, Switzerland 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.