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Bloomberg is seeking an experienced U.S. Equity Strategist to lead the equity research agenda at Bloomberg Intelligence. You will develop and publish insightful research products while engaging with clients and media.
The ideal candidate has over 5 years in equity strategy, a quantitative degree, and strong programming skills in Python. Knowledge of machine learning methodologies and Bloomberg Terminal is a bonus. This role offers the opportunity to influence investment decisions.
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. 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.
We're looking for an experienced U.S. Equity Strategist to join our Equity Strategy team. You bring a proven track record in equity strategy — ideally in a client-facing role with an established institutional following — and you're comfortable owning the full research process, from idea generation through to model development and publication. Experience engaging with media and public audiences is a real plus.
You'll own the U.S. equity research agenda at Bloomberg Intelligence, setting the direction for what we publish and how we communicate it. That means: