1. Data Extraction & Cleaning

• Parse PDF documents: IEPF shareholder registers, dividend statements, corporate action records, transmission registers
• Extract structured data: name, DP ID, folio number, claim amount, last known address, claimant status
• Flag inconsistencies: name spelling variations, missing required fields, impossible dates, impossible amounts
• Deliver clean datasets ready for legal filing (quality bar: 95%+ accuracy minimum)

2. Data Validation Before Filing

• Cross-check extracted data against original source documents
• Identify duplicate claimants appearing across multiple records
• Validate claim amounts against IEPF transfer records and company records
• Escalate data quality blockers that prevent filing
• Maintain a validation log (what was checked, what was rejected, why)

3. Claimant Segmentation & Analytics

• Analyze claim distribution: by value, geography, asset type, claimant segment (living vs. deceased, individual vs. institutional)
• Identify high-value claim segments (where our contingency fee model is most economical)
• Track segment conversion rates: which groups settle fastest, which have highest recovery rates
• Support targeting decisions for new geographic markets

4. Geographic & Expansion Analytics

• Current focus: Jamshedpur IEPF analysis (identify claimants concentrated in Tata Steel ecosystem)
• New markets: Analyze high-density claim pockets in Rajasthan and other target states
• Geographic clustering: identify pin codes, districts, cities where claims are concentrated
• Support field investigator network planning (where to deploy, where ROI is strongest)

5. Operational Pipeline Metrics

• Build & maintain case pipeline dashboard: extraction → validation → filing → settlement
• Track case velocity metrics: average days from data receipt to filing, filing to settlement
• Monitor advocate performance: turnaround time, conversion rate, quality metrics
• Maintain stage-wise metrics: how many cases pending CFA signature, awaiting filing, under processing, settled

6. Economics & Unit Cost Analysis

• Calculate unit economics by claim type: cost per case (extraction + validation + filing overhead), average contingency recovery, profit margin
• Track which asset verticals are economically viable (IEPF vs. SARFAESI vs. land awards vs. MACT)
• Identify unprofitable or low-margin claim segments
• Support pricing/structuring decisions for new verticals

7. Ad-Hoc Strategic Analysis

• Answer founder/CTO questions on-demand: market analysis, segment performance, new vertical viability, competitive positioning
• Analyze operational experiments: heir-tracer effectiveness, CFA conversion rates, claimant acquisition cost
• Turn raw data into actionable insights for business decisions

Pay: ₹300,285.03 - ₹708,205.43 per year

Benefits:

• Food provided
• Paid sick time
• Work from home

Work Location: Remote