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:
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.
Responsibilities:
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Maintain and support the suite of Rimes products and services
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Collaborate with data developers and performance analysts on optimizing data quality and the efficiency of data infrastructures.
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Respond to data questions coming in from clients and from client-facing teams within Rimes.
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Coordinate with data suppliers about calculation methodologies and data anomalies.
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Playing a key role in upholding Rimes’ commitment to data quality.
Requirements:
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Bachelor or Master, in Finance, Science, Engineering or Mathematics-related field.
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Results-driven and detail-oriented with strong problem-solving skills.
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Flexible and efficient at multitasking across various assignments.
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Strong verbal and written communication skills in English.
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Able to work independently, take initiative, and prioritize effectively.
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Interested in technology while recognizing the importance of process and structure.
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Attentive to detail with a demonstrated ability to think creatively.
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A confident communicator with exceptional interpersonal skills.
Also useful:
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Knowledge of financial markets and financial data
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Previous work experience in the financial industry
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Python/Perl experience.
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Knowledge of SQL.
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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.
Hiring process
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.
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