Senior Investment Research Associate

Cantor Fitzgerald/BGCDallas, TX
99dHybrid

About The Position

We are seeking a highly motivated and intellectually curious Senior Investment Research Associate to join our Investment Management team. This role focuses on conducting fundamental research as a generalist across equity and debt securities, with near-term potential to assume sector coverage and opportunities to collaborate with our Quantitative Research team. This position offers a career path toward becoming a Portfolio Manager.

Requirements

  • Strong academic background in Finance, Accounting, Economics, or Business/Data Analytics.
  • Pursuing CFA designation (completion of Level I preferred) or CPA license.
  • 2–5 years of relevant professional experience, such as equity research, investment banking, Big 4 accounting, or other related field.
  • Strong analytical, quantitative, and problem-solving skills.
  • Excellent written and verbal communication abilities.
  • Proven ability to work well on teams, self-motivated, showing initiative and embracing an environment of continuous learning.
  • High proficiency in Excel; working knowledge of PowerPoint
  • Experience with SQL, Python, R, or other quantitative analysis tools.
  • Familiarity with Bloomberg, Eikon, or comparable third-party financial platforms.
  • Bachelor’s degree in Finance, Accounting, Economics, or Business/Data Analytics.

Responsibilities

  • Conduct fundamental research on U.S. and international securities, including analysis of growth drivers, earnings quality, and valuation.
  • Evaluate company-specific events, industry trends, and broader market developments for potential impact on portfolio holdings.
  • Synthesize research findings and present analysis and recommendations to the investment team in both written and verbal form.
  • Actively participate in portfolio review discussions as a member of the investment team.
  • Contribute to client reporting communications and participate in client meetings.
  • Collaborate with the Quantitative Research team on multi-disciplinary approaches to security evaluation.
  • Leverage internally developed AI tools to enhance research efficiency and accuracy.
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