Senior Analyst, Data Operations, Data Platforms

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.