Quantitative Research Intern - Prediction Markets

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.

Benefits

Additional Information

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.

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Company Intel

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