Investment Data Operations Analyst

Omers; Toronto; On-site; CAD 72,000 - 108,000; Full time

Benefits offered by this job

Annual incentive plan

Group benefits

Retirement plans

Job summary

OMERS in Toronto seeks a Data Operations Analyst to ensure accurate, complete, and timely investment data across market reference data, pricing, benchmarks, and related domains.

The role executes daily and periodic data processes, validates data quality, investigates and resolves exceptions, and partners with Investment, Risk, Performance, Finance, Technology, Data Governance, and vendors to meet business needs and improve efficiency.

Qualifications

• 2+ years in investment operations, data operations, middle office, or related data role.
• Working knowledge of investment data concepts and processes.
• Understanding of data quality controls, reconciliations, and exception management.
• Strong analytical and problem-solving skills with attention to detail.
• Clear communication with business, tech, vendor, and data governance partners.

Responsibilities

• Support daily market reference, pricing, benchmark, and security master data processes.
• Maintain investment data records across core investment platforms.
• Validate completeness, accuracy, and timeliness of incoming data feeds and reports.
• Monitor data exceptions and reconciliations to identify issues and follow-up.
• Investigate data quality issues and perform root cause analysis.
• Assist onboarding of securities, benchmarks, investment vehicles, and reference data attributes.
• Coordinate with vendors, Technology, Investment, Risk, and Data Governance for issue resolution.
• Participate in testing, UAT, system upgrades, and post-implementation checks.

Skills

Investment operations

Data operations

Middle office

Attention to detail

Communication

Education

University degree

Tools

SQL

Power BI

Python

Excel

Job description

OMERS in Toronto seeks a Data Operations Analyst to ensure accurate, complete, and timely investment data across market reference data, pricing, benchmarks, and related domains.

The role executes daily and periodic data processes, validates data quality, investigates and resolves exceptions, and partners with Investment, Risk, Performance, Finance, Technology, Data Governance, and vendors to meet business needs and improve efficiency.