Student, Risk Analytics (Fall 2026, 4 Months) at Oxford… · Toronto

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.

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The Risk team and is deeply integrated within OMERS and operates on a foundational principle of trusted partner aligned to and supporting the overall objectives of OMERS. We provide both an independent view of risk-taking activities, as well as analytics and research to inform portfolio construction and risk optimization.

As a member of this team, 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 investment data to help ramp up the development of insightful tools that support the measurement and reporting of investment risk.

• Supporting the research, testing, and development of analytical measures of performance and market, liquidity, credit, and emerging risks.

• Supporting portfolio risk governance and reviews across various asset classes, including public and private assets.

• Supporting the team’s technology and automation initiatives

• Working as a liaison with the IT team to help enhance our data pipelines, risk tools and dashboard development.

• Interacting and building relationships with investment professionals across Risk and the investment teams to understand and communicate the needs of the business.

• Leveraging internal and external systems to source large datasets to answer key investment questions.

• Supporting in the enhancement of our data quality and governance initiatives.

• Creating interactive dashboards for portfolio managers and investment executives to visualize and customize risk.

• Supporting the team in the creation of new analytical frameworks.

To succeed in this role, you:

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

Requirements:

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

• Previous experience (including co/op or internship) in capital markets, pensions and/or risk management is a strong plus.

• Hands-on experience working with large datasets using numerical computing tools, with a desire to understand business risks through data

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

• Ability to build effective relationships internally and externally

• Has exceptional communication skills

• Is eager to learn and has strong intellectual curiosity

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

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

  

This posting is for an existing vacancy.

 

The expected salary range for this position is $66,300.00 - $87,750.00 per year, prorated based on the term of the contract.

 

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.