Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 6
Statistics @ 3
Machine Learning @ 2
scikit-learn @ 6
Leadership @ 3
Communication @ 3
Mathematics @ 3
BI @ 3
Pandas @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. Within the BI Equity Strategy team, you will be part of a global research initiative aimed at positioning Bloomberg Intelligence at the forefront of equity investing and thought leadership.
Location: New York
Responsibilities
- Own the U.S. equity research agenda for Bloomberg Intelligence: set direction for publications and communication.
- Build scalable, repeatable research products that blend fundamental, technical, and quantitative perspectives, covering index valuation, earnings analysis, and sector-level trends in earnings, valuations, and investor sentiment.
- Design and own analytical models end-to-end: idea, specification, development, validation, and research narrative.
- Publish timely, ad hoc research on market-moving developments with a clear point of view and original insight.
- Serve as a regular external voice on U.S. equities through Bloomberg TV and other media, and represent views at client meetings, conferences, and speaking engagements.
- Partner with Core Product and Bloomberg Index Services (BISL) on equity data, terminal functionality, and new Bloomberg-branded index development.
Requirements
- 5+ years covering equity markets in a strategy or research-focused role.
- A bachelor's or advanced degree in a quantitative discipline (Statistics, Mathematics, Finance, Engineering, Computer Science, or similar).
- Strong proficiency in econometric and statistical modeling with hands-on experience applying these to financial markets.
- Familiarity with machine learning methodologies in a financial context.
- Strong programming skills in Python, particularly pandas, NumPy, scikit-learn, and statsmodels.
- Clear, compelling written and verbal communication; able to make complex market views accessible without dumbing them down.
- Published research on U.S. equity earnings, valuations, or market outlooks.
- A track record of building models that have influenced investment decisions.
Bonus Points
- Bloomberg Terminal experience and familiarity with its data ecosystem.
Benefits
- Salary range listed plus benefits and bonus.
- Benefits may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs. (Company does not provide benefits directly to contingent workers/contractors and interns.)