Student, Liquidity Risk Management (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. At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets. The Risk team 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. 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. Interacting and building relationships with investment professionals across Risk and the investment teams to understand and communicate the needs of the business. Develop and enhance liquidity risk frameworks to support OMERS’ investment strategies and funding requirements. Design and improve liquidity and leverage dashboards and analytics using Power BI (e.g., LCR, cash buffers, funding gaps, margin forecasts), ensuring clarity and usability for stakeholders. Build and maintain Python code to support scenario configuration, calculation engines, and results reconciliation. Package reusable components for input validation, scenario layering, sensitivity runs, and performance logging. To succeed in this role, you: The ideal candidate for this role is a student with a strong interest in managing liquidity risk at the Total Plan level, with a desire to apply their knowledge in the investment management domain. Preferred Skills & Experience: 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. Strong proficiency in Python for data analysis, statistical modeling, and automation workflows. Demonstrated experience in developing, testing, and deploying analytical models using libraries. Power BI experience for creating visualizations and dashboards. Ability to design interactive dashboards with slicers, drilldowns, and custom visuals Ability to build effective relationships internally and externally Has exceptional communication skills Is eager to learn and have strong intellectual curiosity Familiarity with Streamlit or similar frameworks for building interactive, data-driven web applications is considered an asset 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.

You will develop and enhance liquidity risk frameworks and dashboards to support investment strategies and funding requirements. Additionally, you will build and maintain Python code for scenario configuration, calculation engines, and results reconciliation.

The ideal candidate is a student enrolled in a quantitative discipline such as Math, Statistics, Finance, or Engineering. You must possess strong proficiency in Python and Power BI, along with a keen interest in liquidity risk management.

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

• Power BISouhaitée
• Analyse de donnéesSouhaitée
• Communication SkillsSouhaitée
• Relationship BuildingSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Power BI
• Liquidity risk management
• Financial modeling
• Data analysis
• Statistical modeling
• Automation workflows
• Scenario analysis
• Risk optimization
• Portfolio construction
• Streamlit
• Communication skills
• Analytical skills
• Relationship building
• Intellectual curiosity
• Liquidity Management
• Portfolio Construction
• Intellectual Curiosity
• Python For Data Analysis
• Workflow Management
• Willingness To Learn
• Research
• Artificial Intelligence
• Automation
• Reconciliation
• Dashboard
• Calculations
• Investments
• Capital Markets
• Decision Making
• Communication
• Data Validation
• Economics
• Finance
• Forecasting
• Investment Management
• Leadership
• Python (Programming Language)
• Market Liquidity
• Liquidity Risk
• Risk Management
• Mathematics
• Statistical Modeling
• Statistics
• Usability
• Web Applications

• Finance & Accounting
• Data & Analytics
• Technology
• Liquidity Analyst
• Risk Manager
• Management and Organization Analysts
• Financial Risk Specialists

Formation minimale

Baccalauréat

Expérience minimale

0+ ans

Postuler avant le

21 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine