Quantitative Researcher

Founded in 1989 in Amsterdam, IMC Trading is a prominent global market maker known for its proprietary and algorithmic trading across a diverse range of financial instruments, including equities, derivatives, and fixed income. Leveraging advanced quantitative strategies and cutting-edge technology, IMC excels in providing liquidity and enhancing market efficiency worldwide. IMC's culture prioritises innovation, collaboration, and continuous learning, fostering an environment where employees are encouraged to innovate and grow. The firm not only focuses on technological advancements in trading but also commits to corporate social responsibility through various charitable efforts. With its technological edge and strategic market presence in major financial centers, IMC Trading stands out as a leader in high-frequency trading and market making.

• An advanced degree with excellent grades in Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or any other highly quantitative field
• Deep understanding of machine learning / deep learning techniques to improve prediction quality in a trading context (PyTorch, Jax, Keras, …)
• Experience or strong affinity with trading in general, and statistical arbitrage strategies in particular, is preferred
• Scientific mindset with experience in numerical programming with Python (numpy, bottleneck)
• Serious about clean code, simple but well-architected systems, and continuous improvement
• Technical accomplishments are considered a plus: Kaggle, Hackathons, Olympiads, academic publications in e.g. NeurIPS, ICML.