Research Analyst

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.​