Quantitative Analyst with an established oil trading firm

Min 3 to 6 years of quantitative analyst experience supporting either physical or paper commodity trades

Proven experience working on building quantitative strategies

Extensive experience programming in Python, R or MATLAB

Our client is an established commodity trading firm. This is a newly created role based in town.

Responsibilities:

• Report to the traders and the MD and support them to develop new, and improve existing quantitative or algorithmic trading strategies

• Identify and implement predictive price signals using machine learning and statistics techniques

• Develop trading strategies to optimise execution utilising market micro-structure analysis

• Develop analytical tools and infrastructure including risk and trading reports and dashboards

• Use advanced programming to implement and back-test quantitative models

• Continuously monitor global market movements and share weekly fundamental research findings with the trading team, to facilitate informed decision-making and strategy development.

Requirements:

• Strong academics in a quantitative discipline (e.g. Computer Science, Analytics, Economic Statistics, Applied Mathematics, Finance etc)

• Min 3 to 6 years of quantitative analyst experience supporting either physical or paper commodity trades

• Proven experience working on building quantitative strategies

• Extensive programming experience in Python, R or MATLAB

• Familiar with using SQL for managing data

• Has experience using Tableau or Power BI

• Results oriented with good people and communication skills. Has a good work attitude.

To apply, please send your CV in Word format to resume@cap-cg.com. Please also include details on your current salary, expected salary, and notice period in your CV.

We regret to inform that only shortlisted candidates will be notified.

Posted by:

CAP Consulting (EA license: 14C7175)

Caroline Poh (EA Registration: R1105649)

Date ad is posted - 3 April 2025