Junior Quantitative Analyst: Trading Analytics & Automation

Glencore; Toronto; On-site; CAD 60,000 - 75,000; Full time

Job summary

A global mining and commodities company is seeking a highly analytical Junior Quantitative Analyst for their Toronto office. The role focuses on supporting decision making across sulfuric acid operations through statistical modelling, data engineering, and market analysis. The ideal candidate is a recent graduate skilled in Python and Excel with a strong interest in quantitative analysis and automation. The position offers opportunities for career development and addresses ad-hoc data requests for business presentations.

Qualifications

• Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Engineering, Mathematics or Economics.
• Advanced proficiency in Python and Excel is required.
• Experience with data analysis, statistical modelling, or machine learning techniques.
• Ability to organize tasks and drive projects from concept to completion.

Responsibilities

• Develop and maintain quantitative models related to physical commodity trading.
• Collect, clean, and analyze large datasets to identify trends.
• Implement statistical and machine learning techniques to support strategies.
• Build and maintain automation and lightweight software solutions.
• Document methodologies, assumptions, workflows, and code.

Skills

Advanced proficiency in Python

Advanced proficiency in Excel

Data analysis

Statistical modelling

Machine learning techniques

Analytical reasoning

Problem-solving

Effective communication

Organizational skills

Critical thinking

Education

Bachelor's degree in a quantitative discipline

Tools

SQL

APIs

Job description

A global mining and commodities company is seeking a highly analytical Junior Quantitative Analyst for their Toronto office. The role focuses on supporting decision making across sulfuric acid operations through statistical modelling, data engineering, and market analysis. The ideal candidate is a recent graduate skilled in Python and Excel with a strong interest in quantitative analysis and automation. The position offers opportunities for career development and addresses ad-hoc data requests for business presentations.