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Bloomberg Intelligence (BI) is seeking an Associate Analyst in Credit Strategy to support Senior Strategists in the US. You will handle data aggregation, analysis, and modeling to generate insights for the credit markets, including investment grade, high yield and leveraged loans.
You will work on developing dashboards, maintaining data on the Bloomberg Terminal, and communicating findings through concise narratives to clients and colleagues, leveraging Python and Excel skills.
Bloomberg Intelligence (BI) delivers independent, data-driven research and interactive datasets integrated into the Bloomberg Terminal, helping investment professionals make decisions faster. With 500+ research professionals, BI provides company, credit, industry and strategy research across major global markets, covering 135+ industries and 2,000+ companies, including perspectives on company fundamentals as well as government policy, litigation and ESG. BI combines analyst expertise with interactive data, proprietary models and emerging technologies, including AI, to deliver faster, deeper and more differentiated research. Our research and datasets are delivered through curated Terminal dashboards and interactive research decks, with underlying data typically one click away, drawing on proprietary Bloomberg sources and 600+ data contributors.
BI Associate Analyst - Credit Strategy: BI is seeking an Associate to support Senior Strategists in the US. As a BI Credit Strategy Associate, the right candidate will be interested in corporate credit markets, including investment grade, high yield and leveraged loans, and will directly support our Credit Strategists in the AMER region. The right candidate will be tasked with sourcing, overseeing and generating data and insights based on a mix of fundamental and quantitative approaches.
You will have a steep learning curve with great exposure to the market experts in Bloomberg Intelligence. The successful candidate will have familiarity with the Microsoft suite of tools, and ideally the Bloomberg terminal. Strong coding skills, including Python, and knowledge of statistics are essential.