Lead Analyst
Noida · On-site
About this role
Key Responsibilities:
• Build and maintain comprehensive historical financial models for companies, with complex product lines, geographies, and reporting structures.
• Apply sector knowledge to interpret industry-specific KPIs (e.g., premiums, claims, reserves, solvency, embedded value) and reflect them accurately in models.
• Navigate complex accounting, regulatory, and disclosure frameworks specific to Insurance and Financial Services to ensure accuracy and completeness.
• Handle nuanced accounting treatments (e.g., reserves, reinsurance, investment income, capital adequacy) while building scalable and audit-ready models
• Mentor and train multiple junior analysts on advanced modeling techniques and sector-specific best practices
• Supporting automation and process improvement initiatives to enhance efficiency and consistency in model building
• Write clear, structured financial commentary explaining model logic, assumptions, and key drivers, particularly for insurance-specific metrics.
• Continuously deepen sector expertise to improve model quality and contribute meaningful analytical insights.
• Build and maintain comprehensive historical financial models for companies, with complex product lines, geographies, and reporting structures.
• Apply sector knowledge to interpret industry-specific KPIs (e.g., premiums, claims, reserves, solvency, embedded value) and reflect them accurately in models.
• Navigate complex accounting, regulatory, and disclosure frameworks specific to Insurance and Financial Services to ensure accuracy and completeness.
• Handle nuanced accounting treatments (e.g., reserves, reinsurance, investment income, capital adequacy) while building scalable and audit-ready models
• Mentor and train multiple junior analysts on advanced modeling techniques and sector-specific best practices
• Supporting automation and process improvement initiatives to enhance efficiency and consistency in model building
• Write clear, structured financial commentary explaining model logic, assumptions, and key drivers, particularly for insurance-specific metrics.
• Continuously deepen sector expertise to improve model quality and contribute meaningful analytical insights.
Requirements
Skills & Qualifications
• Advanced Excel skills with hands-on experience building operating models for complex, multi-segment companies
• Strong business models, capital structures, and valuation approaches
• Solid grounding in capital markets, asset classes, and valuation methodologies, especially as they relate to insurers and financial institutions.
• Familiarity with investment banking, equity research, or financial research workflows
• Strong command of nuanced accounting concepts relevant to Insurance and Financial Services (e.g., reserves, capital, regulatory ratios)
• Ability to clearly articulate forecasting logic and write high-quality financial commentary supporting model assumptions
• Comfortable using GenAI tools for model analysis, validation, and productivity enhancement
• Demonstrated ability to mentor and upskill junior analysts on complex and specialized modeling topics
• Advanced Excel skills with hands-on experience building operating models for complex, multi-segment companies
• Strong business models, capital structures, and valuation approaches
• Solid grounding in capital markets, asset classes, and valuation methodologies, especially as they relate to insurers and financial institutions.
• Familiarity with investment banking, equity research, or financial research workflows
• Strong command of nuanced accounting concepts relevant to Insurance and Financial Services (e.g., reserves, capital, regulatory ratios)
• Ability to clearly articulate forecasting logic and write high-quality financial commentary supporting model assumptions
• Comfortable using GenAI tools for model analysis, validation, and productivity enhancement
• Demonstrated ability to mentor and upskill junior analysts on complex and specialized modeling topics
Company at a glance
Delivering trusted financial data across 6,000+ global tickers that powers AI agents, LLMs, and leading financial institutions worldwide.
Analysts at the top investment firms use our workflow solutions to save valuable time and accelerate their decision making. We also provide the core AI data infrastructure that underpins the best financial agents and are the partner of choice for the leading global AI companies, including OpenAI, Anthropic and Perplexity.
Get in touch at [email protected].
Team Size51-200 employees
WorkspaceOn-site
IndustrySoftware Development
Location
Noida, Uttar Pradesh, India
Websitedaloopa.com
LinkedInLinkedIn
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