Data Operations Analyst at Rimes Technologies

<div class="content-intro"><p><strong>About Rimes</strong></p> <p>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.</p></div><p></p> <p><strong><span data-contrast="auto">The Opportunity</span></strong><span data-contrast="auto">:</span><span data-ccp-props="{}">&nbsp;</span></p> <p><span data-contrast="auto">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.</span><span data-ccp-props="{}"> The </span><span data-contrast="auto">Data&nbsp;</span><span data-contrast="auto">Operations A</span><span data-contrast="auto">nalyst will be responsible to monitor and maintain existing data processes and databases in Rimes platform.</span><span data-ccp-props="{}">&nbsp;</span></p> <p><strong>Core Responsibilities</strong></p> <ul> <li class="pf0"><span class="cf0">Act as part of the global support function providing high‑quality client experience. </span></li> <li class="pf0">Handle inquiries, troubleshoot issues, and support timely incident resolution.</li> <li class="pf0">Communicate clearly with both technical and non-technical stakeholders.</li> <li class="pf0">Research and resolve complex issues related to financial calculations.</li> <li class="pf0">Support performance attribution analysis for multiple asset types.</li> <li class="pf0">Create and maintain validation checks to ensure data accuracy.</li> <li class="pf0">Ensure high data quality across diverse asset classes.</li> <li class="pf0">Monitor and resolve data quality checks and anomalies.</li> <li class="pf0">Collaborate with data providers to investigate or clarify methodology.&nbsp;</li> </ul> <p><strong><span class="cf0">Key Experiences &amp; Background</span><span class="cf1">&nbsp;</span></strong></p> <ul> <li class="pf1"><span class="cf2">A Recent graduate with a degree in:&nbsp; </span>Mathematics / Finance / Engineering or someone with at least 6 months experience in quantitative/ data analytical fields (equity, fixed income, indices, financial markets, investment analytics)</li> <li class="pf1">Strong analytical background, demonstrated through coursework, projects, or internships.</li> <li class="pf1">Proficiency in MS Excel and comfort working with large datasets.</li> <li class="pf1">Experience using financial spreadsheets or databases (from academics, internships, or self-study).</li> <li class="pf1">Excellent communication skills, particularly in English—both written and verbal.</li> <li class="pf1">Exposure to Python or another programming language.</li> <li class="pf1">Prior internship or project experience involving: Data analysis / Financial modelling / Client or stakeholder communication&nbsp;</li> </ul> <p class="pf0"><strong><span class="cf0">Work Environment &amp; Schedule:</span></strong></p> <ul> <li class="pf1"><span class="cf2">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.&nbsp;</span></li> </ul> <p class="pf0"><strong><span class="cf3">You’ll Enjoy These Benefits Starting on Your First Day:&nbsp;</span></strong></p> <ul> <li class="pf1"><span class="cf2">HMO coverage for yourself and dependents</span></li> <li class="pf1"><span class="cf2">Medical and wellness reimbursement</span></li> <li class="pf1"><span class="cf2">Monthly transportation and rice nontaxable allowance</span></li> <li class="pf1"><span class="cf2">Weekly Grab credit for office snacks, in addition to pantry snacks and drinks&nbsp;</span></li> </ul> <p>&nbsp;</p> <p></p><div class="content-conclusion"><p><em>Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.</em></p> <p>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.</p> <p>Visit our <a href="https://www.rimes.com/careers">Careers</a> page to see our complete listings.</p></div>