Student, Global Equities Portfolio Analyst (Winter 2027, 4 Months)

OMERS
Toronto, Ontario, CanadaPosted Sep 7, 2026
Finance / Investment BankingWinter 2027

About the role

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. As a member of the Global Equities team at OMERS Capital Markets, you will be working on a team that manages over $15 billion on behalf of OMERS members. The team employs a fundamental investment process incorporating bottom-up and top-down analysis to identify high quality businesses trading at reasonable valuations with a focus on mitigating the risk of permanent capital impairment, while generating the returns required of the program, with a long-term investment perspective.

At OMERS, you can expect

  • Collaboration with colleagues and leaders who offer diverse experiences and expertise in a supportive environment. Ongoing learning, mentorship and networking opportunities.
  • The opportunity to develop and grow your investment expertise while being a part of an engaged team of investors committed to meeting the pension promise.

You will be responsible for

  • Develop and implement quantitative analytical tools involving large amounts of data from a wide spectrum of data types.
  • Deliver the analytic result in simple and conven

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