Senior Analyst, Reference & Index Data Management - Data Platforms at CPP Investments

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, SQL, Python, Data Quality, Financial Data, Data Operations, Automation, Analytical Skills, Communication Skills, Collaboration, Asset Management, Data Integrity, Financial Markets, Problem Solving, Technology Integration, Metadata Quality

Industry

Financial Services

Description

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: As a Senior Analyst in Data Operations, you will play a critical role in ensuring the accuracy, integrity, and efficiency of our data processes. Your responsibilities will include: 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. Stay ahead of industry trends by evaluating new vendor offerings and identifying opportunities to integrate them into data operations. Identifying opportunities to integrate them into data operations, including emerging AI-driven tools and automation to improve accuracy and efficiency. Qualifications A Bachelor’s degree in Computer Science, Engineering, Economics, Business, or another quantitative discipline. Minimum of 3 years of relevant experience in data operations or a related field. Familiarity with leading financial data vendors such as Bloomberg, S&P, and Refinitiv, and their product offerings. A solid understanding of index methodologies and rebalancing processes is an asset. Knowledge of Security & Entity Master platforms such as EDM - S&P Global (formerly IHS Markit), Eagle, Bloomberg PolarLake, or GoldenSource is preferred. Strong SQL skills with hands-on experience in data extraction, manipulation, and analysis Python experience is nice to have Proven ability to respond effectively to business partner needs and adapt to shifting priorities. Excellent understanding of key financial data management concepts, including security master data, financial statement data, pricing, and market data. Strong analytical skills with a keen eye for detail. Exceptional written and verbal communication skills. Ability to work under pressure and deliver within tight deadlines. Demonstrated interest in financial markets with the ability to interpret economic news and market conditions; progress toward CFA designation is a plus. Passion for learning and adopting new technologies. Collaborative mindset and alignment with CPP Investments’ guiding principles of high performance, integrity, and partnership Additional Information Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-RK1 #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.

Responsibilities

As a Senior Analyst in Data Operations, you will manage core operational activities such as security setups and reconciliations while ensuring data integrity. You will also drive automation and process optimization to enhance data operations.