Financial Data Research Analyst

About the Role

strong with numbers, logical reasoning, financial understanding

Key Responsibilities

• Validate and refine

  HNI/UHNI net worth estimates

  using multiple financial and public signals.
• Analyse

  ESOP allocations, liquidity events, startup funding rounds, M&A filings, DRHPs, MCA filings

  , and shareholding structures.
• Build frameworks to calculate likely wealth, salary ranges, equity value, and asset indicators.
• Work closely with the

  Data Science team

  to improve wealth scoring models and signal accuracy.
• Collaborate with the

  data operations

  team to ensure correct mapping, entity resolution, and profile completeness.
• Identify data gaps and design logic-based rules to estimate wealth more accurately.
• Bring insights on patterns in HNI wealth creation, executive compensation, founder equity structures, etc.
• Contribute to new features around wealth scoring, financial footprint, career trajectories, and inferred signals.

Requirements

• Strong understanding of

  startup funding, ESOPs, equity structures, valuations, cap tables

  , and financial statements.
• Experience working with financial / valuation models
• Excellent analytical skills and comfort with numbers.
• Ability to break down complex financial events into logical, structured insights.
• Experience with financial research, valuations, investment research, or equity analysis is a plus.
• Ability to work with data teams, DS teams, and product teams.
• Curious, detail-oriented, and driven to build accurate, high-quality intelligence.
• Hands-on with Excel, Python (good to have)

finance, quantitative thinking, and product intelligence

Budget for the role: 4-8 L (Cash+Esop)

Please fill in the below mandatory form to apply for the role:

https://forms.gle/ja8NdPRvwuRSDe5A9