About this role
Key Responsibilties
• Build and maintain detailed historical financial models for both public and private companies.
• Update financial data with the latest earnings releases and other relevant financial disclosures.
• Accurately map and align client-provided data with Daloopa’s internal datasets.
• Monitor and analyze key trends, developments, and news in assigned sectors or geographies.
• Maintain and update internal MIS reports to support team and organizational goals.
• Support ad hoc research and data-related tasks as assigned.
• Build and maintain detailed historical financial models for both public and private companies.
• Update financial data with the latest earnings releases and other relevant financial disclosures.
• Accurately map and align client-provided data with Daloopa’s internal datasets.
• Monitor and analyze key trends, developments, and news in assigned sectors or geographies.
• Maintain and update internal MIS reports to support team and organizational goals.
• Support ad hoc research and data-related tasks as assigned.
Requirements
Skills and Qualifications
• Bachelor’s degree in finance, Commerce or a related field (mandatory).
• Strong command of Microsoft Excel and its financial functions.
• Basic understanding of financial statements and analytical techniques.
• Excellent communication skills, both written and verbal.
• Attention to detail and a high level of accuracy in work.
• Strong organizational and time-management skills.
• Self-motivated with a passion for financial research and data
• Flexibility to work in evening or night shifts (post-probation if required).
• Bachelor’s degree in finance, Commerce or a related field (mandatory).
• Strong command of Microsoft Excel and its financial functions.
• Basic understanding of financial statements and analytical techniques.
• Excellent communication skills, both written and verbal.
• Attention to detail and a high level of accuracy in work.
• Strong organizational and time-management skills.
• Self-motivated with a passion for financial research and data
• Flexibility to work in evening or night shifts (post-probation if required).
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