Lead Data Analyst, Public & Alternative Investments, Data Platforms
Toronto, ON, Canada
CPP Investments
Company Description
Make an impact at a global and dynamic investment organization
When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.
CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:
- Diverse and inspiring colleagues and approachable leaders
- Stimulating work in a fast-paced, intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Being motivated every day by CPP Investments’ important social purpose and unshakable principles
- A flexible/hybrid work environment combining in office collaboration and remote working
- A deeply rooted culture of Integrity, Partnership and High Performance
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here’s an opportunity for you to invest your career at CPP Investments.
Job Description
We are hiring a Lead, Public & Alternative Investments, Data Platforms. In this role, you will combine your passion for asset management with your expertise with data to build and support index data operations. You will be the subject matter expert on index data used across the Fund by Investment Departments and Core Services. You will manage the index component of large-scale projects and lead the discussions with Portfolio Managers, Researchers, and other internal business partners. In addition, you will engage directly with Index vendors and managed service providers to onboard new data and address business needs. You will also contribute to the development of daily processes, including playbooks, reporting, notifications, and data quality checks. You will work collaboratively with Data Engineering and Data Quality Teams in addition to business users to deploy appropriate levels of data operations.
The Opportunity:
- Lead engagements with internal business partners for the sourcing of index and constituent data required for reporting or investment strategies.
- Engage with index vendors and managed service partners to coordinate the delivery of new index data feeds, address data quality, mapping, and methodology issues; participate in roadmap and strategic review discussions with vendors.
- Perform data validations on newly acquired index and constituent data.
- Act as key contributor on the process of ingesting new index datasets on CPP Investments’ cloud environment; provide detailed technical and business requirements including data transformation and mapping logic and data structuring.
- Manage and enhance investment data infrastructure through initiatives such as improving metadata and data integrity.
- Institutionalize knowledge of index data used in investment and reporting processes.
- Stay current with new vendor product offerings and how they might be used by the data operations team.
- Stay current with trends in the data and analytics space (e.g., data visualization techniques, Big Data, etc.)
Qualifications
- A Bachelor’s degree in finance, economics, computer science, engineering, or other quantitative discipline. CFA is a plus
- Minimum of 10 years of direct experience
- Expert knowledge of index and constituent data including vendor offerings, vendor methodologies and usage patterns of index data across asset classes. Expert knowledge of index data re-distributors such as Rimes, Bloomberg, S&P and Refinitiv and their product offerings.
- Solid SQL skills with experience in a data context is a must (e.g., data extraction, data manipulation, data analysis, etc.). Practical experience with Python and/or pyspark
- Good understanding of key financial data concepts related to index data such as performance measurement and attribution, total portfolio management.
- Strong analytical skills; detail oriented
- Knowledge of visualization techniques would be an asset
- Strong communication skills both written and verbal
- Ability to work under pressure to deliver within time-sensitive deadlines
- Successful candidates must be team players and exemplify CPP Investment Board’s guiding principles of high performance, integrity, and partnership
Additional Information
Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-KE1
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis DataOps Data quality Data visualization Economics Engineering Finance PySpark Python SQL
Perks/benefits: Career development Flex hours
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