Analyst, Risk Analytics
Head Office Toronto, Canada
OMERS
OMERS pension income provides peace of mind. With the OMERS defined benefit pension plan you can confidently retire knowing that you will have income for life. The money you set aside from every paycheque is matched by your employer, and we...Choose a workplace that empowers your impact.
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The Risk Analytics team is accountable for driving the development of risk insights across OMERS through both advanced quantitative and thoughtful qualitative analysis. The team is a trusted thought partner in communicating a view on risk-taking activities across Risk and its stakeholders, with a goal to integrate insights into the strategic decision-making process. The team is also tasked with promoting a robust risk culture that encourages inclusion and diversity, transparency, and open dialogue.
We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. Our hybrid work guideline requires teams to come to the office a minimum of 4 days per week.
As a member of this team, reporting to the Vice President of Risk Analytics, you will be responsible for:
Providing insights and risk analysis in support of OMERS Capital Markets Global Credit program, in close partnership with the Capital Markets Risk team
Working with investment data to help ramp up the development of insightful tools that support the measurement and reporting of investment risk
Facilitating the team’s efforts in credit asset modeling, transaction-level analysis, and sensitivity analysis
Supporting the research, testing, and development of analytical measures to assess the portfolio’s performance, market performance and indicators, liquidity, and emerging risks
Contributing to the ongoing development of a leading risk analytics program to support OMERS investment activities and the evolution of its investment strategies with a collaborative mindset
Supporting the team’s technology and automation initiatives
Helping to enhance and develop our risk tools and interactive dashboards
Interacting and building relationships with investment professionals across Risk and the Credit investment teams to understand and communicate the needs of the business
Leveraging our systems to source large datasets to answer key investment questions
Supporting the team in the creation of new analytical frameworks for measuring risk
To succeed in this role:
The ideal candidate for this role is an individual in the earlier stages of their career with a strong interest in Risk and Data Science, with a desire to apply their knowledge in the investment management domain.
Requirements:
University degree in a quantitative discipline such as Math, Statistics, Finance, Economics, or a related field
Previous experience (including co/op or internship) in capital markets, pensions and/or risk management, with experience in credit, is a strong plus
Strong working knowledge of capital markets, including an understanding of how financial instruments are modeled, particularly credit
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
Experience using Python and Power BI (and/or similar) is an asset
Ability to build effective relationships internally and externally
Has exceptional communication skills
Is eager to learn and has strong intellectual curiosity
Previous experience modeling credit assets is a plus
Experience using 3rd party systems (e.g., MSCI Risk Manager, BlackRock Aladdin, and/or Bloomberg) is an asset
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Economics Finance Mathematics Power BI Python Research Statistics Testing
Perks/benefits: Career development Team events Wellness
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