Associate, Data Analytics
Associate, Data Analytics
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Job Description
We are recruiting an Associate Business Management within the PE department based in Toronto. The role will focus on data and analytics leveraging CPPs various applications and data platforms to build technology solutions supporting the departments 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 PEs business requirements and support the creation of data products and management dashboards to PEs leadership team. The role requires adaptability in balancing ongoing recurring responsibilities with ad-hoc project-based work aligned with the departments 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 visual and dynamic advanced analytical solutions by providing an integrated and independent view of key investment and business metrics with self-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. 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 Summary
The Private Equity (PE) department is responsible for all of CPPIBs 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 Accountabilities:
- Utilize advanced analytical techniques with multimodal datasets to enable insight generation and advanced portfolio analytics to support investment decisions.
- Partner with PEs investment professionals Technology & Operations and other departments as needed to develop tailored solutions addressing PEs data analytics and reporting requirements (investment holdings performance capital etc.).
- Build 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 through UI design tools.
- 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 (e.g. portfolio monitoring performance dashboards) with evolving and time-sensitive projects across the department.
- Assist in the preparation of management reports and portfolio analysis.
- Support deal 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.
Qualifications :
- Post-Secondary degree in Computer Science Data Science Statistics or related quantitative fields.
- 2-3 years of full-time experience.
- Investment experience is an asset. Alternatively strong demonstrated interest in investing and financial data and decision-making.
- Proficient 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.
- Demonstrated growth mindset and intellectual curiosity with a passion for creating value for the Fund and continuously improving ones technical capabilities (e.g. researching various AI techniques).
- Demonstrated growth mindset and intellectual curiosity with a passion for creating value for the Fund and continuously improving ones technical capabilities (e.g. researching various AI techniques).
- Strong critical thinking analytical and problem-solving skills.
- Excellent written and verbal communication skills with an interest in developing people management and 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
Additional Information :
Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-ASM1 #LI-Onsite
At CPP Investments we are committed to diversity and equitable access to employment opportunities based on ability.
We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process.
Our Commitment to Inclusion and Diversity:
In addition to being dedicated to building a workforce that reflects diverse talent we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials accessible meeting rooms etc.) please let us know and we will work with you to meet your needs.
Disclaimer:
CPP Investments does not accept resumes from employment placement agencies head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered. CPP Investments will not pay any referral placement or other fee for the supply of such unsolicited resumes or information.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
