Data Analyst

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.

We are currently recruiting for a Data Analyst to join our global Data organization. This is an excellent opportunity to join a well established firm with a global footprint and significant growth potential. 

As a Data Analyst at Rimes, you will apply your analytical and problem solving expertise to research complex issues related to financial data sources across a wide range of asset classes, including fixed income, equities, ETFs, and commodities. 

• →Maintain and support the suite of Rimes products and services 
• →Collaborate with data developers and performance analysts on optimizing data quality and the efficiency of data infrastructures. 
• →Respond to data questions coming in from clients and from client-facing teams within Rimes. 
• →Coordinate with data suppliers about calculation methodologies and data anomalies. 
• →Playing a key role in upholding Rimes’ commitment to data quality. 

• Bachelor or Master, in Finance, Science, Engineering or Mathematics-related field. 
• Results-driven and detail-oriented with strong problem-solving skills. 
• Flexible and efficient at multitasking across various assignments. 
• Strong verbal and written communication skills in English. 
• Able to work independently, take initiative, and prioritize effectively. 
• Interested in technology while recognizing the importance of process and structure. 
• Attentive to detail with a demonstrated ability to think creatively. 
• A confident communicator with exceptional interpersonal skills. 

• Knowledge of financial markets and financial data 
• Previous work experience in the financial industry 
• Python/Perl experience. 
• Knowledge of SQL. 
• Hands-on experience working with Databricks or similar distributed data processing platforms 

Work Model: hybrid approach, 2 days per week in our office, hours 9am - 6pm.