Fixed Income Data Analyst - Mexico

Careers at Bloomberg

Mexico City

Posted Sep 1, 2016 - Requisition No. 53888

You love the pace of the financial markets. You're always on the pulse with the latest market movements.
You're the type of person that looks beyond the headline. You live for the detail and understand the importance of the underlying financial data that inspires breaking news, financial reporting and analysis.
You enjoy the challenge of solving complex problems. You're just the sort of person we are looking for to join our Fixed Income team in Global Data!

Our Team:

Global Data is the backbone of the Bloomberg Professional Service. As data analysts, we collect, analyze and present data that informs our clients' decisions. We provide the factual foundation that inspires news and analysis. The foundation runs every core Bloomberg function, piping scrubbed data into our solutions every second. We drive the content that makes Bloomberg the leading and most sought-after data source in the world.

We'll trust you to:

  • Procure, analyze and process Fixed Income data from diverse sources
  • Build and maintain VBA macros and Python scripts to query and parse data
  • Deliver excellent customer service to Bloomberg's clients and provide insights into the world of Fixed Income
  • Critically analyze processes and find solutions to managing complex market information while liaising with other internal groups to develop & deliver projects and initiatives

You need to have:

  • Bachelor’s degree in Business, Finance, Accounting or degree in Technical Field (e.g. Information Systems, Statistics, Engineering, Computer Science) or equivalent work experience
  • Strong proficiency in Excel and working knowledge of Python or VBA
  • Commitment to enhancing and developing products
  • Keen interest in financial markets
  • Fluency in Spanish. Portuguese is a plus

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! **Resumes must be in English in order to be considered.

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