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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 640,000 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.
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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 Risk Modelling 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.
Interacting and building relationships with investment professionals across Risk and the investment teams to understand and communicate the needs of the business.
Assist in the research, implementation, testing, and documentation of risk models used within BlackRock Aladdin.
Collaborate with model owners and risk partners to ensure appropriate model selection and performance monitoring.
Contribute to the design of model governance practices, including change management, issue tracking, and resolution procedures.
Contribute to the ongoing maintenance and enhancement of the existing risk systems, MSCI Risk Manager.
To succeed in this role, you:
The ideal candidate for this role is a student with a strong interest in modelling of financial instruments, 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.
Strong proficiency in quantitative/statistical methods applicable to model testing.
Previous experience (including co/op or internship) in capital markets, pensions and/or risk management is a strong plus.
Solid understanding of key risk management concept including stress testing, VaR, and risk decomposition.
Broad understanding of major investment assets classes (equities, fixed income, derivatives) and alternative asset classes (private equity, infrastructure, and real estate)
Previous working experience with factor-based models is a strong plus
Demonstrated ability to build effective relationships with both internal and external stakeholders.
Excellent written and verbal communication skills.
Experience using Python and Power BI (and/or similar experience creating visualizations and dashboards) is a plus
Knowledge of model governance practices and experience working across the model lifecycle is a plus.
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.
Note: OMERS uses artificial intelligence tools to assist in the recruitment process.