Job Opportunities API

About Rimes 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. 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 to ols 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