Choose a workplace that empowers your impact. 

Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.  

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere — come build tomorrow together with us.

Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.

You will be responsible for:

• Contributing to the ongoing development of a leading Risk program to support OMERS investment activities and the evolution of its investment strategies.

• Working with the total plan risk team to implement new metrics aligned with our refreshed Risk Framework to support the measurement and reporting of investment risk.

• Supporting the development, testing, and implementing metrics to measure market and liquidity risks.

• Support reporting needs, including quarterly Board reporting.

• Performing ad hoc research on special projects as required.

• Providing data and analytical support to the team, including working with large data sets and data automation.

You will also have an opportunity to:

• Learn about OMERS unique portfolio of investments.

• Learn how OMERS manages total plan risks and how we engage with stakeholders.

• Develop a deeper understanding of risk metrics.

• Build relationships with investment professionals across Risk and the broader organization.

• Build relationships with other co-op students and attend co-op specific events.

Preferred Skills & Experience:

The ideal candidate for this role is a student with a strong interest in Risk, Asset Allocation, and Investments, with a desire to apply their knowledge in the investment management domain.

• Enrolment in a university degree in a quantitative discipline such as Math, Statistics, Finance, Economics, Engineering, or a related field.

• Ability to understand and apply complex financial and statistical principles and methods.

• Broad understanding of major investment assets classes (equities, fixed income, derivatives) and alternative asset classes (private equity, infrastructure, and real estate).

• Experience using Python and Power BI (and/or similar experience creating visualizations and dashboards).

• Exceptional communication skills.

• Eager to learn and has strong intellectual curiosity.

Nice to have:

• Previous experience (including co/op or internship) in investments, pensions and/or risk management.

• Enrolled or a desire to enroll in CFA, FRM or equivalent.

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.