Data Operations Analyst
Quick Summary
About Rimes Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data,
Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.
Responsibilities
~1 min read- →Act as part of the global support function providing high‑quality client experience.
- →Handle inquiries, troubleshoot issues, and support timely incident resolution.
- →Communicate clearly with both technical and non-technical stakeholders.
- →Research and resolve complex issues related to financial calculations.
- →Support performance attribution analysis for multiple asset types.
- →Create and maintain validation checks to ensure data accuracy.
- →Ensure high data quality across diverse asset classes.
- →Monitor and resolve data quality checks and anomalies.
- →Collaborate with data providers to investigate or clarify methodology.
- A Recent graduate with a degree in: Mathematics / Finance / Engineering or someone with at least 6 months experience in quantitative/ data analytical fields (equity, fixed income, indices, financial markets, investment analytics)
- Strong analytical background, demonstrated through coursework, projects, or internships.
- Proficiency in MS Excel and comfort working with large datasets.
- Experience using financial spreadsheets or databases (from academics, internships, or self-study).
- Excellent communication skills, particularly in English—both written and verbal.
- Exposure to Python or another programming language.
- Prior internship or project experience involving: Data analysis / Financial modelling / Client or stakeholder communication
- We offer a hybrid work setup with in-office attendance twice or thrice a week, Following the 9:00 PM to 6:00 AM (Manila local time) work schedule.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 2, 2026
- First seen
- June 2, 2026
- Last seen
- July 30, 2026
Posting Health
- Days active
- 30
- Repost count
- 1
- Trust Level
- 22%
- Scored at
- July 3, 2026
Signal breakdown
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