Quantitative Research Intern - Prediction Markets

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:

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Develop, test, and implement quantitative trading strategies for US equities and cryptocurrency markets.

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Manage trading activities, including real-time trade execution, risk management, and position sizing.

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Continuously refine and optimize existing algorithms to improve trading performance.

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Analyze market conditions to identify profitable opportunities using statistical and machine learning models.

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Generate regular performance reports and communicate insights clearly and effectively.

Requirements:

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Strong background in quantitative analysis, algorithmic trading, and statistical modeling.

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Proficiency in Python, Typescript, Go, or Rust.

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Experience or strong interest in cryptocurrency trading and/or US equity markets.

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Understanding of trading platforms, data analysis tools, and market microstructure.

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Excellent problem-solving skills, with attention to detail and accuracy.

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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