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:

• 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