We're seeking a talented Quantitative Engineer eager to step into a trading role focused on prediction markets. You will join a team building strategies to identify and execute trades directly using live capital. This role provides substantial autonomy and direct upside and exposure to the results of your work. Responsibilities: - Develop, test, and implement quantitative trading strategies for US equities and cryptocurrency markets. - Manage trading activities, including real-time trade execution, risk management, and position sizing. - Continuously refine and optimize existing algorithms to improve trading performance. - Analyze market conditions to identify profitable opportunities using statistical and machine learning models. - Generate regular performance reports and communicate insights clearly and effectively. Requirements: - Strong background in quantitative analysis, algorithmic trading, and statistical modeling. - Proficiency in Python, Typescript, Go, or Rust. - Experience or strong interest in cryptocurrency trading and/or US equity markets. - Understanding of trading platforms, data analysis tools, and market microstructure. - Excellent problem-solving skills, with attention to detail and accuracy. - Comfortable working independently, managing risk, and making real-time decisions. Compensation Structure: Pod-based, profit-sharing: You will trade using our capital with a transparent profit-sharing arrangement, aligning incentives directly with performance.