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
Job Responsibilities
šOverseeing one of our major trading books, including all operational and trading-related issues as they occur in real-time šContinuously seek additional sources of edge through analysis of our trading and the market šWork closely with our trading and middle office teams to ensure trades are booked correctly, and reconciled between front and back office systems šLiaise with our key exchange counterparts on margin requirements, coin borrows, trade breaks, technical issues and market making requirements šAssist in the improvement of existing trading strategies, as well as research/development of new strategies šParticipate in idea generation, strategy formulation, back-testing and implementation šSolve complex cryptocurrency derivative pricing problems šDevelop models and tools to automate daily tasks šDevelop and utilise proprietary back-testing and simulation tools šInvestigate crypto-currency market related products - collect, organize and analyse the best solutions to match the requirements of our various trading strategies
Position Requirements:
šWe are seeking traders who have worked in high frequency trading, with strong quantitative backgrounds who think in terms of probabilities and expected value šYouāll have experience in the design, development, testing and coding of trading strategies šYou are comfortable assisting with the design, development and improvement of complex risk management systems šExperience coding with Python (or other relevant languages) šBachelor's Degree or above in Math, Computer Science, Statistics, šQuantitative Sciences and Engineering or related disciplines