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
