About the company
Auros is a leading cryptocurrency market making and high-frequency trading firm operating across all major venues and instruments. A 24/7/365 business, it possesses a world-class team of trading and engineering talent across 15 geographies globally, combining remote work and physical offices in Hong Kong and New York. Auros is one of the largest participants in cryptocurrency markets, generating daily notional turnover in the billions of dollars. Their long-standing technological heritage combines a systematic approach with sophisticated pricing models and state-of-the-art execution capabilities, regularly iterating to ensure robust, reliable trading performance. Their partnership-based approach to external liquidity provision has rapidly established them as a go-to market maker for token projects.
Job Summary
What You'll Do
šDevelop, test and maintain high throughput, high volume distributed data architectures šAnalyze, define and automate data quality improvements šDevelop and maintain real time data collectors for time series databases šBuild and improve trading analytics systems šCreate tools to automate the configuration, deployment and troubleshooting of the data pipeline šDevelop strategies to make our data pipeline efficient, timely and robust in a 24/7 trading environment šImplement monitoring that measures the completeness and accuracy of captured data šManage the impact that changes to trading systems and upstream protocols have on the data pipeline šBack populate and clean historical datasets šCollaborate with traders and trading system developers to understand our data analysis requirements, and to continue to improve the quality of our stored data šDevelop tools, APIs and screens to provide easy access to the archived data
What You'll Bring
šExtensive experience using python for data analysis and other ad hoc tooling to analyse time series data sets and other large sets of data šIdeally youāll have experience with developing real time large scale data pipelines, with petabytes of data šExperience with distributed, high performanceSQL and NoSQLdatabase systems šA bachelor's degree (or above) in Computer Science, Software Engineering or similar, with excellent results.
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