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Bloomberg
London, United Kingdom
(on-site)
Posted
8 days ago
Bloomberg
London, United Kingdom
(on-site)
Job Type
Full Time
Industry
Other
Job Function
Other
Bloomberg Intelligence - EMEA Credit Research Associate
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Bloomberg Intelligence - EMEA Credit Research Associate
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Bloomberg Intelligence - EMEA Credit Research AssociateLocation
London
Business Area
Research
Ref #
10046945
Description & Requirements
Companies are the backbone of the stock and bond markets. Bloomberg Intelligence ("BI") conducts in-depth research on large and midsize companies to help stock and bond investors effectively evaluate those companies. We analyze the unique attributes of each business, how it competes against other companies in its industry and how the business strategies and successes translate into financial results. Our analysts also research the technology, regulation, litigation and economies that will shape the environment for these companies and the related industry impact.
BI research is a combination of written analysis accompanied by interactive charting and analytics created from company reported data as well as industry and government data. Analysts review, check and curate this data into comprehensive and logically arranged dashboards to support their own research and to provide Bloomberg Terminal users a platform to view and analyze the data as well.
What's in it for you:
You would be part of this expanding team and responsible for helping to conduct credit specific research on respective industries and companies. This includes performing high level credit analysis across companies and industries as well as specific fixed income security and market analysis. Additionally, you will help create written reports and analysis relating to credit markets for the companies/industries covered. This analysis will be based on external and internal Bloomberg data sets, such as financial data, detailed corporate bond and loan securities, and capital structure, as well as company filings, excel models and issuer news releases and presentations.
We'll trust you to:
- Actively contribute to the team's daily research activities (i.e. data, written research, idea generation)
- Help to identify, support and maintain critical data and functionality on the Bloomberg terminal
- Develop and maintain relationships with internal departments throughout Bloomberg as well as external company, industry and data professionals
- Work with other data and core business groups to help develop and enhance content and functionality across the terminal
- Interact with clients via our online messaging systems
- Review submitted research for adherence to global quality standards
- Participate in department-wide special projects
You'll need to have:
- Graduated with a Bachelor's degree, preferably with a concentration in Finance
- At least two years of financial market research with good understanding and keen interest of the credit and fixed income market
- A high level of proficiency with Microsoft Excel
- Excellent written communication and presentation skills
- An understanding of advanced concepts, practices and procedures of finance/accounting
- High attention to detail
- Strong organization skills and capable of handling multiple projects; an ability to meet deadlines, logically tackle problems and set priorities
- A dedication to improving and developing products
We'd love to see:
- Progress toward CFA designation
- Experience using Python and/or visualization tools e.g. Power BI, Tableau or Qlik Sense
- Ability to leverage generative AI or machine learning platforms
- A Master's degree in Business, Finance, Accounting, MBA, or related discipline preferred
If this sounds like you:
Apply if you think we're a good match and we'll get in touch with you to let you know next steps.
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Job ID: 80812263
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