Quant Analytics Intern: Risk & Reporting

Alberta Investment Management Corporation (AIMCo); Edmonton; On-site; CAD 18,000 - 28,000; Full time

Job summary

AIMCo in Edmonton invites you to join our Quantitative Analytics & Reporting team for a 12-month internship to build real-world risk analytics skills while supporting investment risk management.

You will apply quantitative methods, develop automated reporting and data workflows, and contribute to risk metrics. Ideal candidates are graduates in math, statistics, CS, data science or finance with SQL, Python and PowerBI interest.

Qualifications

• Recent graduate from a quantitative field such as mathematics, statistics, computer science, data science or quantitative finance.
• Strong SQL, Python, and PowerBI skills with a data-driven analytical mindset.
• Interest in financial markets, investment management, and risk analytics.
• Curiosity about/enthusiasm for emerging technologies including ML/AI to solve business problems.
• Excellent research, analytical and problem-solving abilities with attention to detail.

Responsibilities

• Apply quantitative analytical skills to analyze risk outputs, identify patterns and insights.
• Develop, automate, and improve risk analytics, reporting processes, and data workflows.
• Support production and monitoring of risk metrics and risk reports.
• Identify opportunities to streamline processes through new technologies and analytics tools.
• Document analytical methodologies and governance processes.

Skills

SQL

Python

PowerBI

Data analysis

Education

Bachelors in mathematics, statistics, computer science, data science or quantitative finance

Graduate degree preferred

Tools

PowerBI

SQL

Job description

AIMCo in Edmonton invites you to join our Quantitative Analytics & Reporting team for a 12-month internship to build real-world risk analytics skills while supporting investment risk management.

You will apply quantitative methods, develop automated reporting and data workflows, and contribute to risk metrics. Ideal candidates are graduates in math, statistics, CS, data science or finance with SQL, Python and PowerBI interest.