Quantitative Analyst Low-Latency Trading

Technology is at the heart of modern electronic trading. IMC is seeking highly driven individuals to apply quantitative research techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in the highly competitive world of ultra-low-latency trading.

Your Core Responsibilities

• Perform quantitative research with large datasets to understand exchange technology.


• Design novel approaches to optimize IMC’s trade execution strategies.


• Develop ETL pipelines and algorithms to optimise IMC’s ultra-low-latency trading strategies in Python.


• Reverse-engineer and stress-test network and system programming technology to understand them better than the manufacturers.


• Collaborate closely with Traders and with the Hardware and Software Engineers who will implement your ideas.

Your Skills and Experience 

• BA/BSc/MA/MSc in Engineering, Computer Science or related degree.


• Proficiency in at least one programming language is required. We use Python for data analysis.


• Exceptional quantitative ability and analytical skills.


• Highly motivated to compete—and win—in the world’s most competitive markets.


• Experience with statistical modelling, machine learning, or network technology is a plus.


• Strong communication and collaboration skills, with a desire to work cross-functionally across trading and engineering teams.


• Interest in the financial markets; previous knowledge is NOT required.