IMC is a global quantitative trading firm built on low-latency infrastructure (C++, Linux, Kafka, Cassandra) and modern ML tooling (TensorFlow, PyTorch, Dask, Ray). The tech stack and hiring mix reveal a research-heavy organization: 41 active research roles, 83 engineering roles, and 17 data roles across a 1,001–5,000 employee base, with active adoption of MLflow, Neptune, and Ray signaling investment in model tracking and distributed training. Core pain points cluster around execution quality, options pricing, and latency — indicating the firm is optimizing its competitive edge in high-frequency strategies rather than scaling new trading desks.
Notable leadership hires: Chief of Staff
IMC Trading is a privately held quantitative and algorithmic trading firm headquartered in Amsterdam with offices across the US, Europe, and Asia Pacific. Since 1989, the firm has operated as a market maker and technology-driven trader, providing liquidity across multiple asset classes and geographies. The organization is structured around three pillars: a quant research function (41 open roles), engineering and systems (83 roles), and trading and business operations. Current project focus spans ML model infrastructure, high-frequency strategies, experiment tracking, and deep learning deployment — all reflecting a transition toward larger-scale, more automated trading systems.
Core infrastructure: C++, Python, Linux, Git, Kafka, Cassandra, Kubernetes, Docker. Data/ML: Pandas, Polars, NumPy, TensorFlow, PyTorch, Spark, HDFS, Dask. Currently adopting MLflow, Neptune, and Ray for model tracking and distributed training.
IMC has hiring footprint across Switzerland, Australia, India, Netherlands, UK, China, Denmark, US, Peru, and South Korea. Headquarters is Amsterdam; primary offices in US, Europe, and Asia Pacific.
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