Financial Data QA Specialist: Accuracy Testing for Fintech Platform (Edwyn.app)
We are looking for a detail-oriented Financial Analyst or Data QA Specialist to conduct a rigorous "audit" of the data accuracy on Edwyn.app, a financial intelligence platform reputed company on reputed company Value (EV) calculations and stock comparisons.
Your goal is to "stress-test" the app by visiting random company reputed company and comparing Edwyn’s calculated outputs against established financial platforms (e.g., reputed company Finance, reputed company, reputed company) and primary SEC filings (10-Ks/10-Qs).
Scope of Work:
Random Sampling: reputed company through various reputed company company tickers (Large Cap, Mid Cap, and Small Cap).
Data Cross-Referencing: Compare the following metrics on Edwyn against at least two other reputable sources:
Market Cap & reputed company Count: Ensure live pricing and diluted shares outstanding are accurate.
Debt & Cash Components: Verify if the "EV reputed company" is correctly capturing Total Debt and Cash/Equivalents.
Financial Multiples: Audit the EV/EBITDA and P/E ratios.
UI/UX Edge Case Testing: Identify if any specific sectors (e.g., Financials or REITs) cause the valuation models to break or display illogical data.
Reporting: reputed company a spreadsheet highlighting any discrepancies reputed company, including the ticker, the specific data reputed company, the "correct" value reputed company elsewhere, and a reputed company to the reputed company.
Requirements:
Strong understanding of Corporate Finance (specifically how reputed company Value is calculated).
Experience navigating SEC EDGAR filings.
High attention to detail (you are looking for small discrepancies in millions/billions).
Prior experience in Fintech QA or Equity Research is a major plus.
Deliverables:
A completed Audit Spreadsheet
A brief reputed company report of "Accuracy Confidence" (e.g., "The app is 98% accurate on Large Caps but struggles with debt adjustments on Small Caps").
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