Experienced Quantitative Trader
Job Description Kronos Research is a technology and science-driven quantitative trading firm. Driven by our core values, we risk firm capital to pursue new ideas and profit opportunities with conviction and as such, we have been at the forefront of technology and research, quickly dominating newer markets such as applying HFT/MFT to global multi-asset markets (Equity, Cryptocurrency, Commodities, Prediction Markets). We have reached milestones of trading more than $20 Billion USD in a single day alone and more than $ 5 Billion USD of average daily volume. We are always seeking exceptional Experienced Quantitative Traders to join our existing teams and/or start new teams. If you meet the following criteria, we would love to speak with you. Responsibilities: Manage and optimize portfolios, employing fully systematic quantitative strategies to achieve consistent returns. Develop, backtest, and implement trading strategies in the cryptocurrency markets, balancing risk and reward. Conduct deep analysis of crypto assets and market trends to make data-driven investment decisions. Collaborate with quant researchers, data scientists, and tech teams to refine strategies and improve portfolio performance. Monitor and manage risks associated with trading strategies to ensure alignment with firm objectives. Communicate portfolio performance and risk analysis to senior management and stakeholders regularly. Qualifications: Exceptional educational background from a top-tier global institution (e.g., Ivy League, Oxbridge, top schools in Asia/Europe). Solid live trading track record of consistent returns on CEX and/or DEX Previous experience at a proprietary trading firm, or hedge fund is highly preferred. Strong proficiency in quantitative research, risk management, and statistical analysis. Strong progr Please mention the word **CALMNESS** and tag RMjYwNzo1MzAwOjIwZDo3ZDAwOjo= when applying to show you read the job post completely (#RMjYwNzo1MzAwOjIwZDo3ZDAwOjo=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.