Quantitative Developer (On-Desk)

Quantitative Developer (On-Desk)

As an Quantitative Developer you will join one of our trading desks and drive cutting-edge research, data analysis, and model development to enhance trading strategies for a high-touch desk. This role blends statistical modelling, data engineering, programming, and applied research to generate actionable insights in a fast-paced, real-world environment.

At IMC, you’ll work with a high-caliber team in an intellectually stimulating environment, leveraging cutting-edge technology, proprietary tools, and vast datasets. You’ll have the opportunity to see your research directly impact trading strategies, collaborating with traders and technologists to refine and optimize performance.We foster a culture that values innovation, collaboration, and continuous learning, where creative problem-solving and research excellence drive success.

 Your Core Responsibilities:

• Work closely with traders to refine trading strategies and generate new ideas;
• Build, maintain, and enhance data pipelines to streamline research and execution.
• Conduct quantitative research and statistical analysis to identify trading signals and market inefficiencies.
• Develop, back-test, and implement systematic trading strategies using large datasets.
• Curate, transform, and present data to traders and analysts in a clear, accessible manner.
• Engage in end-to-end research cycles, from ideation to production implementation.
• Communicate findings clearly and effectively to multidisciplinary teams.

Your Skills and Experience:

• Master’s or Ph.D. in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or a related discipline.
• Strong coding skills in Python. Experience with other languages a plus.
• Experience with statistical analysis, numerical programming, or machine learning in Python (Polars/NumPy/SciPy).
• Strong understanding of probability, statistics, and optimization; familiarity with machine learning techniques is a plus.
• Hands-on experience working with large datasets, structuring and optimizing data pipelines and presenting data.
• While prior professional financial experience is not required, an enthusiasm for financial markets and quantitative trading is highly beneficial.