Student, Liquidity Risk Management (Fall 2026, 4 Months)

OMERS•Toronto, ON

1d•Onsite

About The Position

This role is for a Student, Liquidity Risk Management for a 4-month term in Fall 2026. The position is within the Risk team, which is integrated within OMERS and supports overall objectives by providing an independent view of risk-taking activities, as well as analytics and research for portfolio construction and risk optimization. The student will contribute to the development of a leading Risk program, interact with investment professionals, and enhance liquidity risk frameworks. Responsibilities include designing and improving liquidity and leverage dashboards using Power BI and building Python code for scenario configuration, calculation engines, and results reconciliation.

Requirements

Enrolment in a university degree in a quantitative discipline such as Math, Statistics, Finance, Economics, Engineering, or a related field.
Strong proficiency in Python for data analysis, statistical modeling, and automation workflows.
Demonstrated experience in developing, testing, and deploying analytical models using libraries.
Power BI experience for creating visualizations and dashboards.
Ability to design interactive dashboards with slicers, drilldowns, and custom visuals
Ability to build effective relationships internally and externally
Has exceptional communication skills
Is eager to learn and have strong intellectual curiosity

Nice To Haves

Previous experience (including co/op or internship) in capital markets, pensions and/or risk management is a strong plus.
Familiarity with Streamlit or similar frameworks for building interactive, data-driven web applications is considered an asset.

Responsibilities

Contributing to the ongoing development of a leading Risk program to support OMERS investment activities and the evolution of its investment strategies.
Interacting and building relationships with investment professionals across Risk and the investment teams to understand and communicate the needs of the business.
Develop and enhance liquidity risk frameworks to support OMERS’ investment strategies and funding requirements.
Design and improve liquidity and leverage dashboards and analytics using Power BI (e.g., LCR, cash buffers, funding gaps, margin forecasts), ensuring clarity and usability for stakeholders.
Build and maintain Python code to support scenario configuration, calculation engines, and results reconciliation.
Package reusable components for input validation, scenario layering, sensitivity runs, and performance logging.