Student, Quantitative Analytics & Reporting (Fall 2026)

CLOSING DATE: September 9, 2026 Opportunity Are you looking to complement your academic knowledge with professional 'real world' experience? A student 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. This is a 12-month internship with the possibility of extension. ***Job Posting will expire at 11:59pm MT on September 8, 2026*** 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. Responsibilities 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 practical understanding of how investment risk is measured, monitored, and managed within a leading institutional investor, gaining insights that extend well beyond the classroom. Through hands-on work, mentorship, and collaboration with experienced professionals, you will strengthen your technical and analytical capabilities, deepen your knowledge of the investment management industry, and build relationships that support your long-term professional growth. #LI-ET1 Next Steps We are excited to meet you. Please submit your resume or CV to be considered for this opportunity. Applications are being reviewed on a rolling basis and we will be in touch with any questions. Final candidates will be asked to undergo a security screening, which includes a credit bureau and a criminal record investigation, the results of which must be acceptable to AIMCo. ALERT - Be on the lookout for AIMCo career opportunities advertised through third parties that request an application fee or too much information. To verify, all opportunities are posted on aimco.ca/jobs At AIMCo, we draw upon the differences in who we are, where we come from and the way we think to deliver results for the Albertans who rely on us. We offer an inclusive, modern workplace where well-being is prioritized, and colleagues are enabled to do their best work. Our team members are motivated by our purpose and committed to creating long-term value for our clients and their beneficiaries.

The role involves developing and maintaining risk reports, metrics, and automated data workflows to support investment risk management. You will analyze risk outputs to identify patterns and anomalies while collaborating with internal teams to improve operational efficiency.

Candidates should be recent graduates in quantitative fields like mathematics, statistics, or computer science, with a graduate degree strongly preferred. Strong technical proficiency in SQL, Python, and PowerBI is required, along with a solid foundation in financial markets and risk management concepts.

• Mentorship • Professional development • Inclusive workplace

• Data visualizationPreferred
• SQLPreferred
• Problem solvingPreferred
• Machine learningPreferred
• CommunicationPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• SQL
• Python
• PowerBI
• Quantitative analysis
• Risk management
• Data visualization
• Financial modeling
• Automation
• Machine learning
• Artificial intelligence
• Statistical analysis
• Research
• Problem-solving
• Communication
• Data workflows
• Intellectual Curiosity
• Operational Efficiency
• Business Problems
• Risk Analytics
• Workflow Management
• Curiosity
• Reporting Processes
• Emerging Technologies
• Analytical Skills
• Artificial Intelligence
• Data Analysis
• Management
• Business Technologies
• Investments
• Chartered Financial Analyst
• Computer Science
• Data Quality
• Mathematical Finance
• Finance
• Financial Market
• Financial Risk
• Investment Management
• Governance
• Scalability
• Institutional Investing
• Investment Decisions
• Problem Solving
• Python (Programming Language)
• Risk Management
• Machine Learning
• Mathematics
• Mentorship
• Production Process
• Power BI
• SQL (Programming Language)

• Data & Analytics
• Finance & Accounting
• Technology
• Software
• Quantitative Analytics Manager
• Risk Engineer
• Management and Organization Analysts
• Financial Managers

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Sep 9, 2026

Posting language

English

Working hours

40 hours per week