Intern, Quantitative Analytics & Reporting; Fall at Alberta Investment Management Corporation

Intern, Quantitative Analytics & Reporting (Fall 2026) at Alberta Investment Management Corporation (AIMCo) in Edmonton, AB, CA.
This Full time on site position offers great opportunities for career growth. CLOSING DATE:
September 9, 2026.
This is a 12-month internship with the possibility of extension. Job Posting will expire at 11:59pm MT on September 8, 2026.
An intern position at AIMCo might be the opportunity for you to gain the experience you need to launch your career while contributing to hundreds of thousands of Albertans' financial security. Highly successful Interns at AIMCo share many of the same characteristics. They are intellectually curious, diligent and responsible, with a desire to enhance their finance, data, programming and communications skills.

They take advantage of their time at AIMCo by building relationships with our talented workforce and each other.
The Quantitative Analytics & Reporting team is responsible for developing and maintaining risk analytics, reporting, and actionable insights that support effective investment risk management.

Key responsibilities include:

Developing, maintaining, and enhancing official risk reports and risk metrics to support the daily monitoring and management of portfolio risk.
Defining, operating, and continuously improving daily risk workflows executed in partnership with external vendors and the internal Business Technology team.
Establishing, monitoring, and governing analytics production processes managed by the Business Technology team to ensure accuracy, timeliness, and reliability.
Automating reporting processes to improve data quality, operational efficiency, and the breadth of risk analytics available to investment and risk management teams.
Apply strong quantitative analytical skills to analyze risk outputs, identify patterns and anomalies, and develop insights that support investment decision‑making.
Contribute to the development, enhancement, and automation of risk analytics, reporting processes, and data workflows to improve efficiency, accuracy, and scalability.
Support the production and monitoring of risk metrics, ensuring the timely and accurate delivery of risk reports.
Identify opportunities to streamline processes through the application of latest technologies and analytical tools to improve the risk data, analytics and reporting capabilities.
Assist in documenting analytical methodologies and operational processes to support governance, knowledge sharing, and process continuity.
Ideal Candidate Qualifications   Recent graduate from a quantitative oriented fields such as mathematics, statistics, computer science, data science, quantitative finance or a related field.
Graduate degree is strongly preferred.
Strong technical skillset (SQL, Python, PowerBI, etc.) and passion in developing data‑driven analytical solutions.
Strong interest in financial markets, investment management, and risk analytics, with a solid foundation in quantitative methodologies and risk management concepts.
Curiosity and enthusiasm for learning and applying emerging technologies, including machine learning and artificial intelligence to solve business problems and improve processes.
Excellent research, analytical, and problem‑solving skills, with the ability to investigate complex issues and develop practical solutions.
Exceptional attention to detail and a commitment to producing high‑quality, accurate work.
Progress toward, or interest in pursuing, professional designations such as CFA or FRM is considered an asset.
Success Measures  By the end of your term, you will have gained practical experience applying programming, quantitative analysis, and emerging technologies to real‑world risk management and analytics challenges. You will develop a…