Quantitative Strategist: End-to-End Trading, Production

Quadeye Securities Pvt Ltd; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Quadeye Securities Pvt Ltd is a Singapore-based algorithmic trading firm that operates across major financial markets and exchanges. We seek experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets.

You will work with large datasets, apply advanced statistical and machine learning techniques, and write high-performance code for live deployment in a fast-paced, collaborative environment.

Qualifications

• 1+ years of professional experience in quantitative trading, quantitative research, systematic trading, financial modeling, or a closely related field.
• Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Electrical Engineering, Physics, or a related quantitative discipline.
• Strong academic background from a top-tier university or equivalent institution.
• Exceptional quantitative aptitude and problem-solving skills.
• Strong programming skills in C++ or C; proficiency in Python is a plus.
• Solid understanding of statistical modeling, probability, and data analysis.

Responsibilities

• Using cutting-edge statistical and machine learning techniques to identify opportunities from terabytes of data.
• Design and implement trading strategies into highly-optimized and nimble code.
• Productionize your strategies; investigate, observe and devise new ideas for better and faster predictions.

Skills

C/C++

Python

Statistics

Linux

Quantitative

Education

Bachelor/Master/PhD in Mathematics/Statistics/EE/Physics

Tools

Linux/Unix

Job description

Quadeye Securities Pvt Ltd is a Singapore-based algorithmic trading firm that operates across major financial markets and exchanges. We seek experienced Quantitative Strategists to design, implement, and optimize data-driven trading strategies for global markets.

You will work with large datasets, apply advanced statistical and machine learning techniques, and write high-performance code for live deployment in a fast-paced, collaborative environment.