We partner with institutional clients, counterparties and trading venues globally to deliver liquidity in the Equity, FX, Fixed Income, and Commodity markets. At XTX Markets we leverage the talent of the people who work here, modern computational techniques and state-of-the-art research infrastructure to analyse large data sets across markets quickly and efficiently, to maximise the effectiveness of our proprietary trading algorithms.
We are a small organisation with a collegial environment and culture where everyone is valued and is treated as an individual, enabling us to be more agile than our competitors. The quant research team is responsible for the design and estimation of the statistical models behind all of our trading. This is a very challenging task due to the highly competitive and continuously changing nature of financial markets.
The data we use consist of trillions of noisy observations. To make sense of it, we deploy state of the art machine learning techniques and have at our disposal a large cluster of computational resources. My favourite aspects of the job are the technical challenges it presents, the opportunities it offers to keep learning, and how collegiate and collaborative the team is.
Our team works closely with the quant team to take models from a MATLAB prototype to trading tens of thousands of instruments on nearly a hundred exchanges around the world. Our systems have to be able to process an incredible amount of incoming data in real-time without queueing, with market data from major exchanges frequently amounting to tens of gigabits per second.
Our OTC market-making system offers continuous liquidity across multiple asset classes and thousands of instruments. It speaks around a hundred market data and trading protocols. We also build a range of in-house systems for real-time performance monitoring and analysis of XTX's trading activity, which generates millions of events per second.
