All-Asset Quant Strategist — End-to-End Trading AI

Quadeye; Singapore; On-site; SGD 200,000 - 320,000; Full time

Job summary

Quadeye seeks experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets. You will work with terabytes of data, applying advanced statistical and machine learning techniques, and write high-performance code for live deployment.

You will own the strategy lifecycle from research to production in a fast-paced, collaborative environment, solving complex problems at scale and contributing to real-time trading performance.

Qualifications

• Degree in CS or equivalent (required).
• Strong problem-solving and quantitative aptitude.
• Experience with data structures, algorithms, and OOP; C++/C preferred.

Responsibilities

• Design, implement, and optimize data-driven trading strategies for global markets.
• Work with large datasets and apply ML/statistical techniques.
• Productionize strategies and iterate for faster predictions.

Skills

Quantitative aptitude

Problem-solving

Multi-tasking

Communication skills

Education

Engineering degree in Computer Science or equivalent

Tools

C++

C

Python

R

Linux

Job description

Quadeye seeks experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets. You will work with terabytes of data, applying advanced statistical and machine learning techniques, and write high-performance code for live deployment.

You will own the strategy lifecycle from research to production in a fast-paced, collaborative environment, solving complex problems at scale and contributing to real-time trading performance.