πŸ“
New York, NY

Bloomberg Intelligence - Automotive Equity Research Associate

2 years experience
Finance
Data / Analytics
Posted:
December 28, 2025

Bloomberg

Financial data, media & analytics provider
77
Palpable Score
Apply >view company >

WHAT'S IN IT FOR YOU:

The Associate Analyst would be part of this expanding team and responsible for supporting the Automotive Senior Analyst in the US. You will focus significantly on supporting the franchise with financial modeling, generating insights, writing, and conducting investment research. The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements.

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WE'LL TRUST YOU TO:

- Actively contribute to the team’s daily research activities (i.e. data aggregation, financial modeling, written research, idea generation)

- Monitor and interpret major company developments and identify macro themes and trends affecting industries

- Handle significant data analysis and modeling responsibilities; synthesize the results, draw conclusions and develop concise narratives that communicate the story behind the data

- Review submitted research for adherence to global quality standards

- Develop and maintain relationships with internal departments throughout Bloomberg as well as external company, industry and data professionals; participate in department-wide special projects

- 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

- Maintain earnings models fueled by live Bloomberg data

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YOU NEED TO HAVE:

- Graduated with a Bachelor's degree, preferably with a focus or concentration in Finance or related degree

- At least two years of financial market research or Autos-specific subject matter experience, with demonstrable research and analytical skills

- A deep understanding of sophisticated concepts, practices and procedures of finance/accounting

- Proven experience performing quantitative financial analysis, with knowledge of companies, industries, financial statement analysis & modeling

- The ability to spot anomalies in financial data, think critically about what the data is telling you and identify when something doesn't align or makes sense

- Advanced Microsoft Excel skills

- High level of curiosity and attention to detail

- Strong organization skills and capable of handling multiple projects; an ability to meet deadlines, logically tackle problems and set priorities

- Excellent written communication and presentation skills

- A commitment to enhancing and developing products

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WE'D LOVE TO SEE:

- CFA designation and/or MBA degree, and/or graduate educational experience

- Experience using Python and/or visualization tools (i.e Power BI, Tableau, or Qlik Sense)

- Ability to leverage generative AI or machine learning platforms

- Previous work experience with the Bloomberg Terminal. Let us know what your favorite functions are!

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About the company

Bloomberg

Company overview
Bloomberg is a global financial data, software, and media company best known for the Bloomberg Terminal and real-time market news. Bloomberg builds tools used by banks, asset managers, corporates, and governments for trading, analytics, research, and risk workflows. Bloomberg also operates a large newsroom and media businesses alongside the core Bloomberg Professional Services platform. Many early-career roles sit in engineering, data, analytics and sales, customer support, and news.

Locations and presence

Bloomberg lists 159 global locations staffed with over 26,000 employees, with headquarters in New York City. Early-career and internship roles are commonly tied to a specific city office, with program experiences built around the local site and cohort.

Palpable Score

77
/ 100
Bloomberg is a strong early-career employer because the company runs large internship intake across multiple departments and backs this with clear student-facing process guidance in technical hiring. Bloomberg also invests in structured training in several early-career pathways and offers standout benefits, but pay-range transparency is inconsistent across roles and outcomes data (conversion rates, retention, time-to-promotion) is not published.
view full company profile >

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