Senior Analyst, Reference & Index Data Management - Data Platforms

Senior Analyst, Reference & Index Data Management - Data Platforms
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Company Description
Make 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 $3.6 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 environment

Accelerated exposure and responsibility

Global career development opportunities

Diverse and inspiring colleagues and approachable leaders

A hybrid-flexible work environment with an emphasis on in-person collaboration

A culture rooted in principles of integrity, partnership, and high performance

An organization with an important social purpose that positively impacts lives

If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.

Job Description
We are hiring a Senior Analyst to join our Data Operations Team, specializing in Securities Reference and Index Data. Reporting to the Manager of Data Operations, you will leverage your passion for asset management and expertise in data management to build and support critical data operations across the trading lifecycle, including security set-ups, security master, and index data. In this role, you will help design and maintain daily operational processes such as playbooks, reporting, notifications, and data quality checks, ensuring accuracy and efficiency.

Team Summary
The Data Operations team plays a critical role in ensuring the accuracy and integrity of Reference and Index data across the trading lifecycle. We manage essential daily processes such as security setups, reconciliations, and data quality checks. As part of the Data Platforms mandate, we provide the foundation for consistent, scalable, and reliable Enterprise Data Management.

We are at an exciting stage of transformation. Our focus includes:

Replacing a major enterprise data mastering system to drive efficiency and reliability

Expanding automation and introducing AI-driven tools

Strengthening data controls to build a robust, future-ready data ecosystem

If you’re passionate about data quality, operational excellence, and leveraging technology to solve complex challenges, this is the team for you.

Accountabilities

Execute core operational activities such as managing corporate actions data, setting up securities, performing reconciliations, addressing data consumer inquiries, and resolving data exceptions promptly.

Monitor and maintain data integrity, proactively identifying issues, take discretion to resolve issues, and communicate transparently to internal stakeholders.

Drive automation and process optimization to ensure smooth execution of data operations and adherence to business SLAs.

Contribute to strategic initiatives, incorporating key data management principles and supporting operational process enhancements.

Enhance data infrastructure through initiatives like improving metadata quality and strengthening data integrity controls.

Institutionalize knowledge of data used in investment processes, creating a foundation for consistency and scalability.

Collaborate with technology teams to design and implement data tools, analytics, and operational workflows that improve efficiency and insight.

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