Quantitative Trader

Neutral Street; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

Neutral Street seeks a Quantitative Trader to leverage advanced models and our ultra-low latency infrastructure to execute trades across global markets. You will manage risk, refine pricing models, and continuously search for new edges.

Responsibilities include monitoring real-time strategies, analyzing performance, collaborating with researchers to deploying new signals, and reacting quickly to market events. A quantitative degree and programming familiarity are required.

Qualifications

• Degree in a quantitative field (Math, Physics, Engineering, CS) is required.
• Strong intuition for probabilities and statistics is essential.
• Ability to make quick decisions under pressure is essential.
• Basic programming experience with Python or C++ is preferred.

Responsibilities

• Manage risk and monitor automated trading strategies in real-time.
• Analyze trading performance and suggest improvements to algorithms.
• Collaborate with researchers to test and deploy new signals.
• React decisively to breaking news and market events.

Skills

Probabilities & statistics

Decision making under pressure

Quick thinking

Education

Degree in quantitative field

Tools

Python

C++

Job description

Trading // New York / London / Hong Kong

As a Quantitative Trader, you will leverage advanced mathematical models and our ultra-low latency infrastructure to execute trades across global markets. You will manage risk, refine pricing models, and constantly search for new edges.

Responsibilities

• Manage risk and monitor automated trading strategies in real-time
• Analyze trading performance and suggest improvements to existing algorithms
• Collaborate with researchers to test and deploy new signals into production
• React decisively to breaking news and market events

Requirements

• Degree in a quantitative field (Math, Physics, Engineering, Computer Science)
• Strong intuition for probabilities and statistics
• Ability to make quick decisions under pressure
• Basic programming experience (Python or C++ preferred)