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
● Bachelor's or Master's 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.
● Strong 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.