Key Responsibilities

1. Data Quality Review PAS &

- Finance

- Monitor and review the quality of finance-impacting data within the core insurance PAS (policies, endorsements, cancellations, premiums, commissions, tax).

- Identify data anomalies, mismatches, and reconciliation breaks between PAS sub-ledger and the general ledger (GL) / ERP system.

- Define and maintain data quality rules, validation checks, and exception reports for finance-critical data elements.

- Collaborate with PAS functional and technical teams to investigate root causes of data issues and drive resolution.

- Publish periodic data quality dashboards and scorecards for PAS finance data.

2. Month-End &

- Year-End Financial Closure Support

- Support the Finance team during monthly and annual closure cycles by ensuring PAS data is complete, accurate, and reconciled before closure.

- Assist in premium income reconciliation, unearned premium (UPR) calculations, outstanding claims provisions, and commission payables reconciliation.

- Coordinate with PAS and IT teams to ensure period-end batch processes, data extracts, and interface jobs run successfully and on schedule.

- Track open items, data gaps, and resolution timelines to ensure closure TAT targets are met.

- Prepare and review closure checklists and sign-off documentation for PAS-Finance data.

3. Regulatory &

- Compliance Data Support

- Ensure PAS data meets IRDAI statutory reporting requirements including motor, health, fire, and life (as applicable) line-of-business reporting.

- Support preparation and validation of data for IRDAI returns, IIB submissions, GST (insurance premium tax), TDS,



and other regulatory filings.

- Coordinate with compliance and tax teams to fulfil data requirements for regulatory submissions on time.

- Monitor changes in IRDAI guidelines or circulars impacting PAS data fields or finance reporting, and raise change requests accordingly.

- Maintain documentation of compliance data mappings, regulatory data dictionaries, and filing specifications.

4. Audit Support – Internal &

- External

- Act as the primary point of contact for PAS and finance data queries raised during internal audits, statutory audits, and regulatory inspections.

- Retrieve, validate, and present supporting data and evidence from the PAS for audit queries within committed timelines.

- Assist auditors with policy-level, transaction-level, and period-level data analysis as required.

- Maintain an audit trail of data corrections, adjustments, and exception approvals in PAS with appropriate justifications.

- Proactively close audit observations related to PAS data quality and implement preventive controls.

5. Stakeholder Collaboration

- Work closely with the PAS product team, Finance team, IT/operations team, and external SI partner to resolve data issues end-to-end.





- Facilitate data requirement discussions between Finance and PAS teams and document agreed data specifications.

- Participate in sprint reviews, release testing, and UAT to validate that PAS changes do not adversely impact finance data quality.

- Raise and track JIRA / ticketing system issues for PAS data defects and follow through to resolution.

6. Process Improvement &

- Automation

- Identify manual, repetitive data quality checks and work with IT to automate them within the PAS or data warehouse layer.

- Design and implement exception-handling and alerting workflows for critical PAS finance data failures.

- Contribute to building a structured data quality framework for PAS finance data covering completeness, accuracy, timeliness, and consistency dimensions.

Key Deliverables

- PAS Finance Data Quality Reports – monthly and on-demand scorecards, exception logs, and trend analysis.

- Month-End &
- Year-End Closure Checklists – PAS data sign-off packs and reconciliation evidence.

- Regulatory Data Packs – validated data sets and mappings for IRDAI returns, IIB, GST, and TDS filings.

- Audit Response Documents – data extracts, transaction trails, and supporting evidence for audit queries.

- Data Issue Tracker – log of identified data issues, root cause, resolution owner, and closure status.

- Data Quality Rules Repository – documented validation rules, field-level checks, and acceptance criteria for PAS finance data.

- Automation Proposals – business cases and specifications for automating recurring data quality checks.

📌 Finance Solution Analyst (Finance and Regulatory) (Mumbai)
🏢 Clover Infotech
📍 Mumbai