Analyst, Private Equity Business Management

Company DescriptionMake an impact at a global and dynamic investment organization.When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $ trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:Stimulating work in a fast-paced and intellectually challenging environmentAccelerated exposure and responsibilityGlobal career development opportunitiesDiverse and inspiring colleagues and approachable leadersA hybrid-flexible work environment with an emphasis on in-person collaborationA culture rooted in principles of integrity, partnership, and high performanceAn organization with an important social purpose that positively impacts livesIf you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.Job DescriptionWe are recruiting an Analyst, Business Management within the Private Equity department based in Toronto. The role will focus on data and analytics leveraging CPP’s various applications and data platforms to build technology solutions, supporting the department’s strategic priorities and portfolio analytics requirements. This individual will partner with Technology & Operations, Finance and other departments to evaluate data availability, quality and relevance to support PE’s business requirements and support the creation of data solutions and applications to PE’s leadership team. The role requires adaptability in balancing ongoing recurring responsibilities with ad-hoc project-based work aligned with the department’s evolving priorities.The ideal candidate will have strong data analysis skills, ability to query data using SQL & work on large data sets using Python and capability to deliver dynamic advanced analytical solutions by providing an integrated and independent view of key investment and business metrics, such asself-serve monitoring reports. In this role, it is critical to be able to multitask and work well under pressure, learn systems and processes, possess a strong attention to detail and an ability to collaborate effectively across multiple stakeholders and departments. Additionally, the candidate should demonstrate a keen usage of and interest in Gen-AI, such as coding tools like Cursor and AI APIs. The successful candidate will be a self-starter and an active listener, who asks questions to attain clarity and can develop concise communication to be shared both internally and externally.Team SummaryThe Private Equity (PE) department is responsible for all of CPPIB’s private equity investments globally, excluding real assets. By investing in funds, secondaries, and directly in private equity, we seek opportunities to build a global, diversified portfolio that will outperform comparable passive public alternatives over the long term. The Private Equity Business Management group leads business management activities that support the operations of the investment department in an efficient and effective manner.Key AccountabilitiesUtilize advanced analytical techniques with multimodal datasets to enable insight generation and advanced portfolio analytics to support investment decisions.Partner with PE’s investment and technology professionals, Technology & Operations and other departments as needed to develop tailored solutions addressing PE’s data, analytics and reporting requirements (investment holdings, performance, capital, etc.).Support as-is and to-be process design flows, identifying efficiencies and leveraging the capability of digital resources.Work across teams to design management reporting solutions, including creation of impactful and dynamic visuals and applications.Contribute to the on-going effort to expand department-wide knowledge sharing and collaboration including efficient access to data used by the investment teams.Coordinate user requirements gathering and provide testing support for new departmental systems and tools.Execute on ad-hoc reporting and analysis to support business management and investment decisions.Demonstrate flexibility in balancing recurring deliverables (, portfolio monitoring, performance dashboards) with evolving and time-sensitive projects across the department.Assist in the preparation of management reports and portfolio analysis.Support investment teams with aggregating and reporting on key metrics to monitor investment performance.Contribute to the ongoing collection, oversight and review of critical data elements relevant to portfolio holdings.Perform additional analysis in support of portfolio monitoring activities.Execute on ad-hoc reporting and analysis to support business management and investment decisions.Other relevant duties and projects as assigned.QualificationsPost-Secondary degree in Computer Science, Data Science, Statistics or related quantitative fields.1-2 years of full-time experience (co-op or internship experience is an asset).Investment experience is an asset. Alternatively, strong demonstrated interest in investing and financial data and decision-making. Proficiency in Microsoft Office Suite, such as Word, Excel and PowerPoint.Experience working on large data sets with Python and SQL is required.Experience with data processing frameworks is an asset.Familiarity with artificial intelligence tools, including ChatGPT, and experience building or customizing GPT-based solutions is considered an asset. A demonstrated interest utilizing Gen-AI in workflows such as coding agents such as Cursor is also an asset.Demonstrated growth mindset and intellectual curiosity, with a passion for creating value for the Fund and continuously improving one’s technical capabilities (, researching various AI techniques).Strong critical thinking, analytical and problem-solving skills.Excellent written and verbal communication skills, with an interest in developing project management stakeholder influencing skills.Ability to work & thrive in an entrepreneurial environment and be a self-starter.Exemplify our Guiding Principles of Integrity, Partnership and High Performance.