About the company
IMC is a leading trading firm, known worldwide for our advanced, low-latency technology and world-class execution capabilities. Over the past 30 years, weāve been a stabilizing force in the financial markets ā providing the essential liquidity our counterparties depend on. Across offices in the US, Europe, and Asia Pacific, our talented employees are united by our entrepreneurial spirit, exceptional culture, and commitment to giving back. It's a strong foundation that allows us to grow and add new capabilities, year after year. From entering dynamic new markets, to developing a state-of-the-art research environment and diversifying our trading strategies, we dare to imagine what could be and work together to make it happen.
Job Summary
YOUR CORE RESPONSIBILITIES
šParticipate in an intensive training program covering trading concepts, options theory, statistical modelling, and machine learning techniques. šTackle a meaningful research challenge - whether itās designing new predictive models, optimising existing strategies, or leveraging alternative data to extract actionable insights. šExplore large financial and market datasets, identify patterns, and develop quantitative models that contribute to our trading decisions. šWork closely with traders, researchers, and engineers in a fast-paced, intellectually stimulating environment. šPresent your findings through reports and presentations, gaining exposure to both technical and non-technical audiences.
WHAT YOUāLL LEARN
šA deep understanding of trading, market structure, and quantitative research methodologies. šHands-on experience with data science techniques and programming in Python. šExposure to real-time problem-solving in a high-frequency trading environment. šThe ability to present research findings and work collaboratively with cross-disciplinary teams.
If this role isnāt the perfect fit, there are plenty of exciting opportunities in blockchain technology, cryptocurrency startups, and remote crypto jobs to explore. Check them on our Jobs Board.
