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Business Research Analyst at Stremvans Investment Limited

Stremvans Investment LimitedAbuja, Nigeria Data and Artificial Intelligence
Full Time
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Job Summary:

  • The Research Analyst will be responsible for conducting in-depth research and analysis of financial markets, securities, and economic trends to support investment decision-making. This role requires a highly analytical individual with a strong quantitative background and a passion for financial markets.

Key Responsibilities:

  • Conduct fundamental and quantitative research on various asset classes, industries, and individual securities (equities, fixed income, commodities, etc.).
  • Analyze financial statements, market data, economic indicators, and industry trends to identify investment opportunities and risks.
  • Develop and maintain financial models to evaluate investment opportunities.
  • Prepare clear, concise, and well-supported research reports, presentations, and investment recommendations for internal teams and clients.
  • Monitor market developments and stay abreast of geopolitical and macroeconomic factors impacting investment landscapes.
  • Participate in internal strategy meetings and contribute to investment decision-making processes.
  • Translate research findings and investment insights into compelling and easy-to-understand content for various social media platforms (e.g., LinkedIn, Twitter, Instagram, Facebook, TikTok).
  • Create visually appealing graphics, short videos, and other multimedia content to enhance social media engagement.

Qualifications

  • Education: Bachelor\'s degree in Finance, Economics, Statistics, or a related field. A professional certification (e.g., CFA) or progress towards one is an advantage.
  • Experience: Minimum of 5 years of experience in a research, investment analysis or a related role within the financial services industry.
  • Proven experience in managing and creating content for professional social media accounts (specifically in finance/investing is highly preferred).
  • Technical Skills: Proficiency in Microsoft Office Suite, particularly Excel. Experience with financial data platforms like Bloomberg or Refinitiv. Proficiency in Python or R for data analysis is a plus.
  • Knowledge: Strong understanding of financial modeling, valuation techniques, and investment principles.
  • Soft Skills: Strong analytical and problem-solving skills, excellent written and verbal communication skills, and a high level of attention to detail.

Method of Application

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