Opportunity brief
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. Originally posted on Himalayas
