Graduate Quantitative Analyst - Trading & Data Science

Onyx Capital Group; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Onyx Capital Group is hiring for a quantitative trading role on our desks. You will develop and maintain high-quality quantitative strategies in production and monitor live trading and risk across multiple datasets.

The role requires strong Python and C++ skills, and a passion for energy and commodities markets. The ideal candidate has a quantitative degree and a solid background in statistics and machine learning, with the ability to work autonomously in a fast-paced environment and communicate

Qualifications

• Bachelor's or advanced degree in a quantitative field, graduating in 2025 or earlier.
• Strong knowledge in statistics and machine learning.
• Excellent programming skills in Python and C++.
• Ability to multi-task in a fast-paced environment with strong attention to detail.
• Experience exploring large datasets across multiple timeframes.
• Trading knowledge in energy/commodities is a plus.
• Good communication and collaborative skills.

Responsibilities

• Deliver high quality quantitative strategies in production.
• Monitor continuous trading, strategy performance and all relevant risks.
• Implement signals and relevant datasets within the global execution platform.
• Share production results, methodology, data sets and processes with traders & senior management.
• Support the full-strategy trading cycle from risk calibration to trade executions.

Skills

Quantitative skills

Statistics

Machine Learning

Python

C++

Data exploration

Trading knowledge

Communication

Multi-tasking

Autonomy

Education

Bachelor's or Master's in quantitative field

Tools

Python

C++

Job description

Onyx Capital Group is hiring for a quantitative trading role on our desks. You will develop and maintain high-quality quantitative strategies in production and monitor live trading and risk across multiple datasets.

The role requires strong Python and C++ skills, and a passion for energy and commodities markets. The ideal candidate has a quantitative degree and a solid background in statistics and machine learning, with the ability to work autonomously in a fast-paced environment and communicate