Intern, Quantitative Analytics, Reporting

Alberta Investment Management Corporation (AIMCo)

. Develop, maintain, and enhance official risk reports and risk metrics .

Posted 10/26/2026internshipEdmonton • CanadaEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical capabilities in risk analytics and reporting, with proficiency in SQL, Python, and Power BI. Possesses a solid foundation in quantitative methodologies and a keen interest in financial markets and investment management.

Highest-signal resume keywords

SQLPythonPower BIRisk ManagementQuantitative Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPower BIQuantitative AnalysisRisk ManagementData Workflow DevelopmentReporting AutomationAnalytical MethodologiesMachine LearningArtificial Intelligence

Soft Skills

Research SkillsAnalytical SkillsProblem-Solving SkillsAttention to DetailCollaboration

Certifications & Qualifications

CFAFRM

Industry Keywords

Risk AnalyticsInvestment ManagementFinancial MarketsData QualityOperational Efficiency

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop, maintain, and enhance official risk reports and risk metrics
Define, operate, and continuously improve daily risk workflows with external vendors and the internal Business Technology team
Establish, monitor, and govern analytics production processes
Automate reporting processes to improve data quality, operational efficiency, and risk analytics coverage
Analyze risk outputs, identify patterns and anomalies, and develop insights supporting investment decisions
Contribute to risk analytics, reporting process, and data workflow development and automation
Support production and monitoring of risk metrics and timely delivery of risk reports
Identify opportunities to streamline processes using emerging technologies and analytical tools
Assist in documenting analytical methodologies and operational processes
Build technical and analytical capabilities through hands-on work, mentorship, and collaboration

Requirements

What you’ll need

Recent graduate from a quantitative-oriented field such as mathematics, statistics, computer science, data science, quantitative finance, or a related field
Graduate degree is strongly preferred
Strong technical skillset, including SQL, Python, and Power BI
Strong interest in financial markets, investment management, and risk analytics
Solid foundation in quantitative methodologies and risk management concepts
Interest in applying emerging technologies, including machine learning and artificial intelligence
Excellent research, analytical, and problem-solving skills
Exceptional attention to detail and commitment to producing high-quality, accurate work
Progress toward, or interest in pursuing, professional designations such as CFA or FRM is considered an asset
Final candidates must undergo acceptable security screening, including a credit bureau and criminal record investigation

Benefits

Comp & perks

12-month internship with the possibility of extension
Inclusive, modern workplace
Well-being is prioritized
Mentorship and collaboration with experienced professionals
Professional growth and relationship-building opportunities