Portfolio Data Operations Analyst

Role Overview

This role sits at the core of global investment data operations, ensuring that complex portfolio information is accurately processed, validated, and delivered within strict service timelines. You will work with high-volume financial datasets covering trades, positions, and market data to ensure integrity across client portfolios.

What You Will Do

Perform daily validation and verification checks to ensure accuracy, completeness, and timeliness of client portfolio data within defined SLAs. Investigate, troubleshoot, and resolve data pipeline issues, trade processing exceptions, and position discrepancies in collaboration with support and engineering teams.

Why It Might Be a Fit

This is an opportunity to contribute directly to the reliability of a large-scale financial data platform powering global investment decisions. You will collaborate closely with internal operations teams, engineering, product, and external data providers to troubleshoot issues and improve workflows.

Requirements

• 2+ years of experience in financial services, investment operations, asset management, or capital markets environments
• Strong understanding of trade lifecycle, portfolio data, and middle/back-office operations processes
• High attention to detail with proven ability to execute structured processes accurately under tight deadlines
• Strong analytical and problem-solving skills with the ability to investigate complex data issues
• Excellent communication and interpersonal skills to interact with internal teams, clients, and external data partners
• Ability to multitask, prioritize effectively, and remain composed in a fast-paced operational environment
• Proficiency with tools such as Excel, Google Workspace, Jira, Confluence, or similar financial systems; SQL or Salesforce is a plus

Benefits

• Competitive compensation aligned with experience and industry standards
• Remote-friendly or flexible work arrangements depending on team structure
• Opportunity to work with global financial datasets and leading investment institutions
• Exposure to advanced data platforms, financial systems, and operational tooling
• Career development in a high-growth, data-driven investment technology environment
• Collaborative, learning-focused culture with strong emphasis on ownership and innovation
• Inclusive workplace supporting diversity, growth, and continuous improvement