Quantitative Research Intern - Prediction Markets

Reposted 10 Days Ago
4 Locations
Hybrid
Internship
Blockchain • Fintech • Software • Financial Services • Cryptocurrency
The Role
As a Quantitative Research Intern, you'll develop and implement trading strategies, manage trades, optimize algorithms, and analyze market conditions in cryptocurrency and US equities.
Summary Generated by Built In

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.

Top Skills

Go
Python
Rust
Typescript
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The Company
HQ: New York, New York
26 Employees
Year Founded: 2025

What We Do

We conduct research and trade alternative investment markets. Mathematicians, software engineers, and data scientists welcome.

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