Graduate Quantitative Trader — Energy Markets

SpeedyApply LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Onyx Capital Group is hiring for a quantitative trading role. You will join our desk to deliver high quality quantitative strategies in production, monitor continuous trading, strategy performance and all relevant risks.

Ideal candidates hold a quantitative degree and have strong Python and C++ skills, experience exploring large datasets, and a keen interest in global energy and commodities markets; the role requires autonomous, collaborative work and an immediate start.

Qualifications

• Bachelor's or advanced degree in a quantitative field, graduating in 2025 or earlier.
• Strong knowledge in statistics and machine learning.
• Ability to multi-task in a fast-paced environment with attention to detail.
• Strong programming skills in Python and C++.
• Experience exploring large datasets across multiple time frames.
• Curiosity about global energy and commodities markets.
• Collaborative, autonomous work style with good communication.

Responsibilities

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

Skills

Statistics

Machine Learning

Python

C++

Data analysis

Attention to detail

Communication skills

Trading knowledge

Autonomy

Education

Bachelor's or Advanced degree in quantitative field (data science, statistics, mathematics, physics, or engineering) graduating in 2025 or earlier

Job description

Onyx Capital Group is hiring for a quantitative trading role. You will join our desk to deliver high quality quantitative strategies in production, monitor continuous trading, strategy performance and all relevant risks.

Ideal candidates hold a quantitative degree and have strong Python and C++ skills, experience exploring large datasets, and a keen interest in global energy and commodities markets; the role requires autonomous, collaborative work and an immediate start.