Software Engineer - Data Platform

The Data Platform team is building a system for processing and managing daily data that is used throughout the firm including corporate actions, fundamentals, and index membership data. We are not trying to collect hundreds of alternative data sources; instead, our focus is on collating the data that is most critical to the firm, both now and as our business evolves, and ensuring that we have a singular, clean, easy to access and well-integrated repository of these data. We build automated pipelines to ingest and process third party data and make it available to internal users. The team requires a high level of autonomy from its members, so that data issues are detected and resolved in a timely manner. You will be expected to come up with new algorithmic approaches for improving the quality of the data (such as error correction), discovering new patterns within the existing datasets, and sourcing new datasets altogether. Most days we work on improving and optimising the ingestion pipelines and processing framework. The end users are internal teams; therefore, you'll be expected to frequently communicate new updates and to aggregate and address incoming requests. As the owners of the firm's daily data, the team will be expected to anticipate the needs of our business and ensure our normalised data schema is minimal yet sufficient.

XTX Markets is a leading algorithmic trading firm that provides liquidity in the global financial markets. Founded in 2015, the company utilizes advanced quantitative models and technology to offer competitive pricing and market-making services across various asset classes including equities, foreign exchange, and commodities. XTX Markets operates with a focus on transparency, efficiency, and innovation, aiming to improve the overall functioning of financial markets. The firm is headquartered in London, UK, and has additional offices in New York, Paris, and Singapore. XTX Markets is known for its expertise in quantitative trading and market-making strategies.