Quantitative Research Intern - Prediction Markets
Role Overview
This is a quantitative research intern role focused on developing and implementing algorithmic trading strategies for US equities and cryptocurrency prediction markets. As part of a trading team, you'll build, test, and optimize quantitative models, execute real-time trades, manage risk, and analyze market conditions using statistical and machine learning approaches. The position offers substantial autonomy with direct exposure to trading results and profit-sharing incentives.
Perks & Benefits
This is a fully remote position with a pod-based profit-sharing compensation structure that directly aligns incentives with performance. You'll have substantial autonomy in your work and direct exposure to the results of your trading strategies. The role likely offers flexible scheduling typical of remote tech roles, though real-time trading responsibilities may require some alignment with market hours.
Full Job Description
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.
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