Data Acquisition Analyst

The Opportunity 

The Foundational Data team acts as the gatekeeper for all third-party communications with Rimes’s 800 information providers on behalf of our 400 end clients. The team manages key relationships with a huge and varied international group of information providers.  

The Data Acquisition Analyst’s role is vital to the Rimes infrastructure. Reporting to the Senior Manager of Foundational Data Acquisition, the Data Acquisition Analyst is responsible for working closely with external data partners to support new data acquisition, while keeping Rimes users informed of progress on any escalated issues.  

The ideal candidate is technically oriented, detail-focused, and persistent in seeing issues through to resolution. They should be able to manage multiple projects simultaneously, validate work proactively, and apply creative thinking to develop simple, effective solutions. Strong written and verbal communication skills are also essential, particularly when engaging with external data partners. In addition, the candidate should demonstrate a solid understanding of index data and experience in data analysis using basic to intermediate Excel functionalities. 

Experience working with Python, SQL, and/or AI tools are advantageous to the role. 

The role is open to fresh graduates or with 0-2 years work experience. 

Key Responsibilities:

• Connect with external data partners to support new data acquisition projects 
• Support the maintenance and growth of the Rimes index catalogue, adding new records, and maintaining database integrity  
• Proactively maintain and keep up-to-date documentation of processes and procedures and communicate changes to the wider team  
• Identify areas of improvement in existing processes and collaborate with team members to achieve greater efficiency and scalability 
• Support the suite of Rimes Foundational Data covering Benchmark & Indices, ETF, ESG, and Alternative data 
• Identify, analyse and resolve metadata gaps, creating new data content and mapping records across databases  

Required Qualifications: 

• Bachelor's degree in finance, Business, or related study 
• Strong communication, interpersonal and organizational skills 
• Experience working with, querying, and manipulating large datasets 
• Strong analytical thinking skills to interpret data, identify patterns, and support informed decision-making 
• Intermediate MS Excel Skills (Match, Index, Lookup formulas, Pivot Tables) 
• Ability to manage multiple priorities under tight deadlines 
• Ability to work within a team as well as independently  
• Desire to learn modern technology and grow in an ever-changing environment 
• Excellent written and verbal communication skills in English 

Preferred Qualifications: 

• Knowledge and understanding of equity and fixed income indices 
• Familiarity with Benchmarks & Indices, Exchanges, ETF, ESG, and Alternative data 
• Understanding of globally recognized identifiers used in the financial markets for recognition and identification of tradable securities, such as SEDOL, ISIN, CUSIP, OpenFIGI and Exchange Tickers 
• Multilingual proficiency is advantageous, but not required 
• Familiarity with project management tools and AI prompting 
• Basic knowledge of Python and SQL 

Work Environment & Schedule:

We offer a hybrid work setup with in-office attendance twice or thrice a week, Following the 10:00 AM to 7:00 PM (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