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About the Role

Gain hands-on experience using advanced analytical tools to evaluate the impact of asset mix decisions. This role offers a unique opportunity to explore the key factors influencing the asset/liability balance of a pension plan, understand the risk and return characteristics of various asset classes, and apply risk metrics to assess portfolio suitability.

Responsibilities

• Assist in the development and refinement of asset/liability models to evaluate the impact of changes in portfolio returns and economic assumptions.
• Conduct statistical analysis on simulation outputs and interpret key risk metrics.
• Create and present data visualizations and summaries tailored for diverse audiences, including investment professionals and risk managers.
• Help design and execute stress tests and scenario analyses to assess portfolio resilience under various market conditions, economic shocks and demographic assumptions.
• Assist in preparing model and process documentation, risk reports, and presentations that communicate findings and recommendations to stakeholders.
• Contribute to the development and implementation of automated workflows and advanced AI-driven solutions using Python, with the goal of streamlining processes and enhancing operational efficiency across risk modeling and asset liability management.

Requirements

• A strong academic background in finance, risk management, actuarial science, mathematics, or computer science is essential.
• Demonstrate proficiency in quantitative analysis and possess the foundational knowledge required to evaluate complex financial models and risk metrics within an institutional investment environment.
• Enrollment in a 3rd or 4th year undergraduate program or a Masters’ program in Actuarial Science, Statistics, Finance, or a related field.
• Familiarity with pension plan operations, particularly the interaction between assets and liabilities.
• A working knowledge of asset classes and their roles in diversified portfolios.
• Proficiency in Python or any other programming languages for data analysis and modeling.
• Experience with data visualization tools (Power BI preferred).
• Prior co-op or internship experience is an asset.
• Experience with Snowflake is an asset.
• Interest or experience in building agentic AI applications is a plus.
• Must be enrolled in a co-op program or returning back to studies after the work term is completed.
• Candidates must be legally entitled to work in the country where this role is located.

Skills

• Quantitative analysis
• Python
• Data visualization
• Power BI
• Snowflake
• Agentic AI applications

Location

• Toronto

Work Type

• Hybrid

Experience Level

• Intern

Education Level

• 3rd or 4th year undergraduate program
• Masters’ program

Salary/Compensations

• $30 - $33 per hour

Benefits

• Opportunities for professional growth and development, including lunch and learns
• Student led team building events on a monthly basis
• Employee discount programs including Edvantage and Perkopolis

About the Company

• At Ontario Teachers', diversity is one of our core strengths. We take pride in ensuring that the people we hire and the culture we create, reflect and embrace diversity of thought, background and experience. Through our Diversity, Equity and Inclusion strategy and our Employee Resource Groups (ERGs), we celebrate diversity and foster inclusion through events for colleagues to connect for professional development, networking & mentoring. We are building an inclusive and equitable workplace where our talent is respected, accepted and empowered to be themselves. To learn more about our commitment to Diversity, Equity and Inclusion, check out Life at Teachers'.

Equal Opportunity

• Accommodations are available upon request (peopleandculture@otpp.com) for candidates with a disability taking part in the recruitment process and once hired.
• Ontario Teachers’ may use AI-based tools to assist in screening and assessing applicants for this position. These tools may help us identify candidates whose skills and experience align with Ontario Teachers’ objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.