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
📍Liaise with our key exchange counterparts on margin requirements, coin borrows, trade breaks, market making requirements. 📍Support other internal and external clients’ execution needs to achieve optimal outcomes. 📍Work closely with our trading, middle office and finance teams to ensure trades are booked timely and correctly, reconciled between our front and back office systems. 📍Assist in the research and development of new trading strategies. 📍Assist the trading desk with quantitative analytical work to support the improvement of our existing trading strategies. 📍Participate in idea generation, trading strategy formulation, back-testing and implementation. 📍Monitor and analyse the operation of live trading programs. 📍Investigate crypto-currency market related products, collect, organise and analyse the best solutions to match the requirements of our various trading strategies.
What you’ll bring
📍A high degree of enthusiasm and interest in working within the cryptocurrency industry. 📍Cryptocurrency, high frequency trading and/or derivatives market experience is preferred. 📍Extensive experience using Python/C++ is sought, in combination with a variety of other data technologies including Excel. 📍Knowledge and experience in mathematical modelling of big data, data mining and machine learning is a plus.
