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OMERS

Sr. Associate, Portfolio Analytics, Private Capital

Posted 13 Days Ago
Be an Early Applicant
In-Office
Toronto, ON
Mid level
In-Office
Toronto, ON
Mid level
The Associate will design technology solutions for investment decision-making, maintain data infrastructure, and provide advanced analytics for investment lifecycle support.
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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.


OMERS Private Capital builds a globally diversified private equity portfolio through a combination of minority investments and commitments to private equity funds across geographies and market segments.  As these strategies continue to scale, there is a growing need to strengthen data and technology capabilities that support the full investment lifecycle — from sourcing and due diligence through portfolio management and capital planning.

Technology enablement is a strategic priority for Private Capital. We are seeking to add a highly motivated and versatile Associate to play a key role in designing and advancing the technology architecture that underpins the continued growth, scalability, and institutionalization of the platform.

As a member of the Private Capital team, you will be responsible for the following:

  • Strengthen investment decision-making by delivering advanced analytics and timely insights across the full investment lifecycle, from origination and underwriting to portfolio management and capital planning.
  • Lead the design and implementation of integrated technology solutions that connect CRM, pipeline management, portfolio monitoring, and reporting systems into a cohesive investment platform.
  • Architect and maintain scalable data infrastructure, consolidating internal and third-party data into a unified investment intelligence framework.
  • Develop executive-ready dashboards and analytical tools that deliver actionable insights across fund performance, direct and co-investments, sponsor exposure, and portfolio construction.
  • Evaluate, select, and implement external vendor platforms to improve workflow efficiency, portfolio oversight, and cross-strategy reporting capabilities.

You bring the following skills and qualifications:

  • Bachelor’s degree in computer science, mathematics, finance, engineering, or a related field.
  • Experience within private capital or institutional investing, ideally in a data, analytics, or technology-focused role.
  • Strong understanding of private equity structures, including fund commitments, co-investments, secondaries, and growth or venture investment models.
  • Advanced proficiency in Python and modern analytics/visualization platforms (e.g., Power BI), with the ability to translate complex financial data into decision-ready insights.
  • Data engineering or web development experience; skilled in interactive visualizations (React, Vue, JavaScript) to enhance user experience.
  • Experience designing and operating scalable cloud-based data platforms (e.g., Snowflake, Databricks), with strong knowledge of data modeling and governance.
  • Experience applying modern AI-assisted engineering and analytics workflows to enhance development efficiency and investment decision support.
  • Strong communication and stakeholder management skills, with the ability to operate independently while collaborating effectively with investment professionals and enterprise technology teams.

Challenges and Opportunities:

  • Operating at the intersection of investing and technology, translating complex investment requirements into scalable data and platform solutions.
  • Building institutional-grade data and analytics capabilities in a fast-evolving environment while balancing immediate business needs with long-term architecture.
  • Supporting senior stakeholders with timely, decision-critical insights where accuracy, discretion, and judgment are essential.
  • Managing competing priorities across investment teams while maintaining disciplined execution and platform integrity.

  

This posting is for an existing vacancy.
The expected salary range for this position is $130,000-165,000 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.

Top Skills

Databricks
JavaScript
Power BI
Python
React
Snowflake
Vue

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