Quant Trader Department: Quant Team Employment Type: Full Time Location: Remote Description We are a successful crypto hedge fund with a seven-year track record of delivering strong returns. Our team leverages cutting-edge technology and quantitative strategies to navigate the dynamic world of crypto trading. In this role, you'll develop and implement profitable algorithmic trading strategies across major cryptocurrency exchanges, working closely with our engineering and research teams to transform quantitative insights into profitable trading algorithms. The ideal candidate will be based in the Asia-Pacific region, comfortable with our on-call rotational schedule that requires availability during market-critical moments, including evenings and weekends, and motivated by our competitive compensation structure with a competitive base salary and quarterly profit-sharing bonuses. Our Ideal Candidate Deep curiosity about market dynamics and drive to improve trading strategies Ability to quickly analyze complex problems and implement effective solutions Strong communication skills for cross-functional collaboration Mindset of continuous learning and adaptation in evolving crypto markets Comfortable with a flexible schedule, including evenings or weekends when necessary Key Responsibilities Develop and implement sophisticated quantitative trading strategies Conduct in-depth market analysis to identify trading opportunities Monitor and analyze portfolio performance, making real-time adjustments Collaborate with engineers to improve trading algorithms and infrastructure Perform rigorous backtesting and forward testing of strategies Analyze market microstructure and order flow to refine execution algorithms Implement risk management techniques and portfolio protections Generate actionable insights from cryptocurrency market trends and news Sample Projects Post-Trade Analysis: Develop and implement advanced post-trade analysis tools to evaluate strategy performance and identify areas for improvement Real-Time Portfolio Optimization: Enhance real-time portfolio optimization and capital allocation algorithms to maximize returns while managing risk Predictive Momentum Model: Implement and integrate a predictive momentum model into existing market-making and taking strategies Qualifications Bachelor's degree in a quantitative field (e.g., Mathematics, Physics, Computer Science, Financial Engineering) Strong programming skills, particularly in Python Proven track record in quantitative trading, preferably in crypto high-frequency trading Deep understanding of statistical analysis, machine learning, and time series analysis Experience with market microstructure analysis and order book dynamics Familiarity with common HFT strategies (market making, statistical arbitrage, latency arbitrage) Strong analytical and problem-solving skills with attention to detail Ability to work effectively in a fast-paced, collaborative environment Preferred Qualifications Experience in cryptocurrency HFT or market making Knowledge of low-latency systems and networking concepts Experience with AWS & Docker Understanding of financial risk management principles Benefits Work on cutting-edge trading strategies in dynamic crypto markets Collaborative environment with top-tier professionals Continuous learning and development opportunities Flexible work arrangements kbit LLC
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