Risk Analytics Intern – Total Plan Investments

OMERS / Oxford Properties Group; Toronto; On-site; CAD 66,000 - 88,000; Part time

Benefits offered by this job

Annual Incentive Award

Long-Term Incentive plan

Group benefits and retirement plans

Job summary

OMERS / Oxford Properties Group is seeking a student to contribute to risk management initiatives supporting its investment activities. The role involves metrics development, testing, and reporting, with data analytics support across large datasets.

Preferred candidates study a quantitative field and have knowledge of major asset classes, with exposure to Python and Power BI. Strong communication and curiosity are highly valued for collaboration across teams.

Qualifications

• Enrolment in a university degree in a quantitative discipline such as Math, Statistics, Finance, Economics, Engineering.
• Ability to understand and apply complex financial and statistical principles.
• Broad understanding of major asset classes (equities, fixed income, derivatives) and alternatives.

Responsibilities

• Contributing to the ongoing development of a leading Risk program to support OMERS investment activities and the evolution of its investment strategies.
• Work with the total plan risk team to implement new metrics aligned with the refreshed Risk Framework.
• Support the development, testing, and implementing metrics to measure market and liquidity risks.

Skills

Risk management

Investments

Quantitative analysis

Python

Power BI

Communication

Curiosity

CFA/FRM (nice to have)

Education

Quantitative degree

Tools

Python

Power BI

Job description

OMERS / Oxford Properties Group is seeking a student to contribute to risk management initiatives supporting its investment activities. The role involves metrics development, testing, and reporting, with data analytics support across large datasets.

Preferred candidates study a quantitative field and have knowledge of major asset classes, with exposure to Python and Power BI. Strong communication and curiosity are highly valued for collaboration across teams.