Quantitative Research Intern - Prediction Markets

Kirin; United States; On-site; USD 120,000 - 230,000; Full time

Benefits offered by this job

Profit-sharing

Job summary

Kirin is seeking a talented Quantitative Engineer to join a trading team focused on prediction markets. You will build, test, and deploy strategies to identify and execute trades directly using live capital, with substantial autonomy and clear upside based on performance.

You will work with Python and systems languages to analyze markets, manage risk, and optimize algorithms in real time, covering US equities and cryptocurrency markets, and you will communicate insights through regular

Qualifications

• 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.

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.

Skills

Quantitative analysis

Algorithmic trading

Statistical modeling

Python

Go

Rust

Typescript

Tools

Python

Go

Rust

Typescript

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.