Drimva

Bloomberg

Bloomberg Intelligence - Semiconductors Equity Research Associate

$100K–$120K

New York · Full-time · Posted Oct 30, 2026

Experience
At least two years of financial market research or industry-specific subject matter experience.
Education
Bachelor’s degree, preferably focused or concentrated in Finance or a related degree.
Visa sponsorship
Must be legally authorized to work full-time in the United States and not require visa sponsorship now or in the future.

About the job

Supports Bloomberg Intelligence’s semiconductor equity research through financial modeling, data analysis, investment research, and written insights on semiconductor companies and industry trends.

What you'll do

  • Conduct data aggregation, financial modeling, research, and idea generation; synthesize findings into concise narratives.
  • Monitor company developments and industry trends, review research for quality, and support content and functionality improvements across the Terminal.
  • Use generative AI, machine learning, and automation to improve research workflows, data discovery, modeling, and content development.

What they ask for

  • Bachelor’s degree; Finance or a related field preferred.
  • At least two years of financial market research or industry-specific subject matter experience.
  • Technology-sector knowledge, finance/accounting knowledge, and experience with quantitative financial analysis and modeling.
  • Advanced Microsoft Excel skills and legal authorization to work full-time in the United States without current or future visa sponsorship.

Nice to have

  • CFA designation, MBA, or graduate education.
  • Python, visualization tools (Power BI, Tableau, or Qlik Sense), or Bloomberg Terminal experience.

Pay

100,000 - 120,000 USD Annual (base salary)

Tools

Microsoft Excel, Python, Power BI, Tableau, Qlik Sense, Bloomberg Terminal

AI focus

Apply generative AI, machine learning tools, and automation to improve research workflows, data discovery, modeling, and content development; adopt these technologies to build repeatable workflows and improve research efficiency and quality.

Model-written summary · the original posting is authoritative

First seen Oct 30, 2026 · Last verified Nov 5, 2026 (UTC)