About Rimes
Rimes provides enterprise data management solutions to the global investment community. Driven by our passion for solving the most complex data problems, we provide our clients with investment intelligence that powers more than US$75 trillion in assets under management annually. The world’s leading institutional investors, asset managers and service providers rely on Rimes to help them make better investment decisions using accurate information and industry-leading technology.
The Opportunity:
The Data Team work together to offer hundreds of cloud-based financial databases, across multiple asset classes, to meet the fast-growing data requirements from global institutional clients. The Data Operations Analyst will be responsible to monitor and maintain existing data processes and databases in Rimes platform.
Core Responsibilities
- 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.
Key Experiences & Background
- 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
Work Environment & Schedule:
- 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.
You’ll Enjoy These Benefits Starting on Your First Day:
- HMO coverage for yourself and dependents
- Medical and wellness reimbursement
- Monthly transportation and rice nontaxable allowance
- Weekly Grab credit for office snacks, in addition to pantry snacks and drinks
Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.
Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.
Visit our Careers page to see our complete listings.
Skills Required
- Recent graduate with a degree in Mathematics, Finance, or Engineering or at least 6 months experience
- Strong analytical background demonstrated through coursework, projects, or internships
- Proficiency in MS Excel and comfort with large datasets
- Experience using financial spreadsheets or databases
- Excellent communication skills in English
- Exposure to Python or another programming language
- Prior internship or project experience in data analysis or financial modelling
What We Do
Rimes provides transformative data management and investment intelligence solutions to the world's leading investors and asset managers. Driven by our passion for solving the most complex data problems, we partner with our clients to help them make better investment decisions using accurate information and industry-leading technology. Headquartered in New York and London, Rimes serves its global clients through offices in Europe, the Americas and the Asia Pacific.
