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Assistant Data Risk Analyst Jobs in Toronto, ON (NOW HIRING)

Omers

Analyst, Total Plan Risk Management

Toronto, ON

CA$86K - CA$130K/yr

Providing insights and risk analysis in close partnership with the Total Plan Risk team ... Working with investment data to help ramp up the development of insightful tools that support the ...

Td

Manager - Data Management

Toronto, ON

CA$96K - CA$136K/yr

... risk management, and data life cycle management * Knowledge of current and emerging competitors and market trends in Data Management * Skill in using analytical software tools, data analysis methods ...

Liberty

Analyst III, Counterparty Credit Risk

Oakville, ON · Hybrid

CA$90K - CA$120K/yr

... and assist key stakeholders as required in any workstream where Algonquin and Subsidiaries is ... I. tools in uploading any required data into Algonquin and Subsidiary Credit Assessment tolls to ...

Liberty

Analyst III, Counterparty Credit Risk

Oakville, ON · Hybrid

CA$90K - CA$120K/yr

... and assist key stakeholders as required in any workstream where Algonquin and Subsidiaries is ... I. tools in uploading any required data into Algonquin and Subsidiary Credit Assessment tolls to ...

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Assistant Data Risk Analyst information

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analyst. Data analysts, including assistant data risk analysts, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain expertise. Skills in data visualization, statistical analysis, and understanding AI tools are valuable in this evolving field.

Can I be a data analyst in 3 months?

Becoming a data analyst typically requires several months of dedicated learning in areas such as data analysis, SQL, Excel, and visualization tools like Tableau or Power BI. While some intensive bootcamps or training programs claim to prepare individuals quickly, gaining proficiency usually takes longer than three months, especially without prior experience.

Is risk analyst an entry-level job?

A risk analyst role can be entry-level or require some experience, depending on the organization. Entry-level risk analyst positions typically require basic knowledge of data analysis, risk management principles, and relevant tools like Excel or risk assessment software. Advanced roles may require additional certifications or experience in finance, cybersecurity, or data analysis.

What does an assistant data analyst do?

An assistant data analyst supports data analysis tasks by collecting, cleaning, and organizing data, often using tools like Excel or SQL. They help identify trends and prepare reports under the supervision of senior analysts, gaining experience in data management and analysis techniques.
Assistant Data Risk Analyst jobs near you

Analyst, Total Plan Risk Management

Omers

Toronto, ON

CA$86K - CA$130K/yr

Full-time

Retirement

Posted 12 days ago

Job description

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.

The Total Plan Risk Management 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.

As a member of this team, you will be responsible for:

  • Providing insights and risk analysis in close partnership with the Total Plan Risk team

  • 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

  • Working with investment data to help ramp up the development of insightful tools that support the measurement and reporting of investment risk

  • Supporting the research, testing, and development of analytical measures of performance and market, liquidity, credit, and emerging risks

  • Support the team's efforts in delivering high-quality Total Plan Risk reporting for the Board and Senior Leadership

  • Risk governance, including the review of investment risk policies and monitoring of corresponding investment risk limits

  • Helping to enhance and develop our risk tools and interactive dashboards

  • Interacting and building relationships with investment professionals across Risk and the Total Portfolio Management investment teams to understand and communicate the needs of the business

  • Supporting the Asset Liability study

  • Conducting research to inform total portfolio construction, including forecasting risk under different market conditions, implementing stress tests, and evaluating the impact of tactical asset mix tilts

  • Leverage internal and external systems to source large datasets to answer key investment questions.

To succeed in this role, you:

The ideal candidate for this role is an individual in the early 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, Engineering, or a related field.

  • Previous experience (including co/op or internship) in capital markets, pensions and/or risk management is a strong plus.

  • 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 written and verbal communication skills

  • Is eager to learn and has strong intellectual curiosity

  • Experience using 3rd party systems (e.g., MSCI Risk Manager, BlackRock Aladdin, ORTEC Glass, and/or Bloomberg) is an asset

  • CFA, FRM, or another financial risk designation (or a willingness to enroll in one)

This posting is for an existing vacancy.The expected salary range for this position is $86,000.00 - $130,000.00 per year.

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.

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