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

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 convenient visualization. - Assist PMs with portfolio construction analysis, trade execution support, monitoring of portfolio risk, and preparing reports and insights on portfolio positioning. - Conduct research on portfolio construction questions, macro trends, and cross-sector themes to support both the Research team and PMs. - Work closely with colleagues across Capital Markets. Preferred Skills & Experience: Currently enrolled in an undergraduate or graduate degree program in Business, Finance, Mathematics, Statistics, Economics, or a related field. Strong academic track record combined with extra-curricular experience. Previous experience (including co/op or internship) in capital markets, pensions or asset management is a strong plus. Comfortable using Microsoft Office, especially Excel and PowerPoint and programming languages (e.g Python, VBA, or SQL); Experience with tools such as Bloomberg, Power BI, or Power Automate is a plus. Familiar with basic data analytics concepts and ideally have some experience working with large datasets or simple statistical models through coursework or projects. Foundational understanding of portfolio construction principles, risk metrics, or asset management concepts, or a strong willingness to learn. A creative and enquiring mind Good communication skills, team working ability and integrity 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.

The analyst will develop quantitative tools for data analysis and visualization while assisting portfolio managers with construction, trade execution, and risk monitoring. They will also conduct research on macro trends and cross-sector themes to support the broader investment team.

Candidates must be currently enrolled in an undergraduate or graduate program in a quantitative or business-related field. Strong proficiency in programming languages like Python, VBA, or SQL and experience with data analytics tools are highly preferred.

• Group benefits • Retirement plans • Short-term incentive plan • Long-term incentive plan

• Data visualizationPreferred
• Power BIPreferred
• TeamworkPreferred
• SQLPreferred
• Microsoft ExcelPreferred
• CommunicationPreferred
• Risk MonitoringPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Quantitative analysis
• Data visualization
• Portfolio construction
• Risk monitoring
• Python
• VBA
• SQL
• Excel
• PowerPoint
• Bloomberg
• Power BI
• Power Automate
• Financial modeling
• Research
• Communication
• Teamwork
• Report Writing
• Portfolio Construction
• Portfolio Positioning
• Microsoft Power Automate
• Willingness To Learn
• Data Types
• Programming Languages
• Microsoft Excel
• Artificial Intelligence
• Asset Management
• Corporate Finance
• Investments
• Capital Markets
• Decision Making
• Economics
• Equities
• Leadership
• Python (Programming Language)
• Mathematics
• Mentorship
• Microsoft Office
• Microsoft PowerPoint
• SQL (Programming Language)
• Statistical Modeling
• Statistics
• Visual Basic For Applications

• Finance & Accounting
• Data & Analytics
• Management & Leadership
• IT Portfolio Analyst
• Investment / Portfolio Analyst
• Financial Analysts
• Financial and Investment Analysts

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Sep 21, 2026

Posting language

English

Working hours

40 hours per week