This role offers an opportunity to work in a fast-paced investment environment and directly contribute toward alpha generation and long-term portfolio performance.

• Own end-to-end research coverage across the sector.
  
• Conduct in-depth fundamental analysis to identify investment opportunities and risks.
  
• Build and maintain detailed financial models, forecasts, valuation models, and scenario analyses.
  
• Generate actionable investment ideas and recommendations through bottom-up and thematic research.
  
• Monitor company performance, earnings, industry developments, and competitive landscapes.
  
• Analyze macroeconomic trends and assess their impact on sectors and investment strategies.
  
• Prepare investment theses, sector reports, research notes, and management presentations.
  
• Leverage AI tools, financial databases, and alternative datasets to enhance research quality and efficiency.
  
• Attend earnings calls, management meetings, analyst conferences, and industry events.
  
• Collaborate closely with CIOs, Fund Managers, Portfolio Managers, and Traders to support investment decisions.
  
• Use Python, SQL, VBA, or data analytics tools to automate workflows and improve research processes.
  
• Present stock recommendations, sector views, and investment rationale to internal and external stakeholders.
  
• Ensure accuracy, data integrity, and adherence to research governance standards.
  
• Contribute toward alpha generation and long-term portfolio performance.

• A passion for financial markets and investment research.
  
• Proven experience as a Research Analyst in a buy-side research role.
  
• High level of market intelligence and analytical rigor.
  
• Advanced Excel skills, data analysis, and modelling capability.
  
• Comfort with AI tools, automation, and coding-based workflows.
  
• Excellent written and verbal communication skills, with experience in preparing research reports and presentations.
  
• Ability to engage confidently with clients, management teams, and senior stakeholders.
  
• Critical thinking, intellectual curiosity, and structured problem-solving.
  
• High standards of professionalism, ethics, and attention to detail.
  
• CA / MBA (Finance) / CFA Charter Holder; CMT certification will be an added advantage.
  
• Hands on experience in Data Science, Machine Learning, and AI-driven research methodologies for investment analysis will be an added advantage.
  
• Proficiency in using financial research tools and databases, including Bloomberg Terminal, ACE Equity.