What if credit decisions took seconds, not days We turn messy, tamper-prone bank statements into instant clarity - catching hidden edits, surfacing fraud, and flagging risks before defaults ever happen. Speed: Process thousands of statements daily, 95% faster. Efficiency: Cut ops cost by 70%. Impact: Up to 20% fewer NPAs. Salaries, side hustles, shopping, loans, lifestyle; we slice it clean with smart categorisation. The output isn t just another spreadsheet, it s precision: PDF tamper checks FOIR assessment Red-flag alerts Crisp eligibility reports No clutter. No blind spots.

Role Overview

This is a high-ownership role suited for someone who combines deep knowledge of financial data with a systematic, automation-first approach to quality assurance.

Key Responsibilities

- Financial Data Accuracy & Validation: Ensure 99%+ accuracy in BSA (Bank Statement Analysis) outputs generated by the platform. Develop and maintain validation frameworks for detecting anomalies, outliers, and inconsistencies in financial data outputs. Regularly audit model and parser performance across top clients and high-volume datasets. Review financial ratio calculations, cash flow summaries, and bank statement-derived insights for accuracy before client submission.
- QA Process Design & Execution: Define and enforce QA standards, test case libraries, and regression testing protocols for all financial analytics modules. Build and maintain automated test scripts to validate OCR outputs, transaction classification, and derived financial metrics. Ensure every product release passes UAT and meets accuracy, performance, and compliance benchmarks before deployment. Maintain a comprehensive test repository covering edge cases, exception flows, and high-risk data scenarios.




- Team Leadership & Skill Development: Lead and mentor a cross-functional team of financial analysts and quality analysts. Conduct weekly review sessions focused on analytical best practices, QA automation techniques, and error pattern identification. Foster a culture of precision, accountability, and continuous learning within the team.
- Product & Process Improvement: Collaborate with Product and Engineering teams to propose improvements in classification logic, rule engines, and data extraction models. Track, document, and categorize recurring issues to create automated validation or reconciliation rules. Drive at least two process refinement initiatives per quarter to measurably improve output quality or QA efficiency.
- Client Delivery & Reporting: Oversee end-to-end delivery of client analysis reports and dashboards, ensuring adherence to defined SLAs. Create periodic performance and exception reports for internal management and external audit teams. Act as the quality checkpoint before high-stakes client deliverables go out.
- Compliance & Data Governance: Maintain compliance with RBI guidelines, AA-network standards, and company data security policies. Ensure all data handling, processing, and sharing conform to internal PII and confidentiality policies. Support audit readiness by maintaining thorough documentation of testing evidence, process workflows,



and data lineage. Take ownership of assigned tasks and ensure completion within defined timelines with minimal supervision.

Required Qualifications

- Bachelors or Masters degree in Finance, Accounting, Economics, Statistics, or a related quantitative field.
- 3-6 years of experience in financial analysis, QA, or analytics roles preferably in fintech, lending, or BFSI.
- Strong understanding of bank statement analysis, transaction categorization, cash flow assessment, and credit metrics.
- Hands-on experience with QA methodologies, test case design, UAT, and regression testing.
- Proficiency in Excel/Google Sheets for data validation; working knowledge of SQL for querying datasets.
- Familiarity with OCR-based financial data extraction and the error patterns associated with it.
- Exposure to RBI regulations, AA-network frameworks, and BFSI compliance standards.
- Robust documentation skills and ability to create audit-ready evidence and process documentation.

Nice to Have

- Experience with Python or any scripting language for automating QA workflows.
- Familiarity with tools such as JIRA, Confluence, Postman, or test management platforms.
- Prior experience working with bureau data (CIBIL, Experian) or underwriting workflows.
- Understanding of machine learning model outputs and how to validate derived financial predictions.
- CA / CFA / MBA (Finance) qualification is a plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 BDE (Noida)
🏢 BeFiSc
📍 Noida