Description

CPA-K qualified finance professional with 6+ years reconciling high-volume financial data, auditing for accuracy, and writing the structured reports that data-driven decisions rely on. Daily work involves identifying variances across thousands of records, applying detailed rule sets consistently, and explaining precisely why a number is right or wrong — the same judgment that AI data annotation, model response evaluation, chatbot QA, and search relevance work demands. Comfortable working independently against guidelines, hitting accuracy targets, and documenting edge cases clearly. Background in insurance and regulated financial reporting (IFRS 9/17) adds domain depth valuable for finance-focused AI training projects. Data Quality & Accuracy: High-volume reconciliation (1,000s of records/month), variance analysis, error detection, rule-based review, QA scoring Evaluation & Judgment: Fact-checking, compliance review (IFRS/GAAP), audit response, structured report-writing, explaining “why” behind a decision Tools: Excel (VLOOKUP, Pivot Tables, advanced formulas), Oracle ERP, Google Sheets, process mapping, basic SQL-style logic in spreadsheets Domain Strength: Finance, accounting, insurance, credit/lending — useful for finance/insurance-themed AI training and evaluation projects Working Style: Self-directed against written guidelines, consistent output under deadline, comfortable with repetitive structured tasks at high accuracy Languages: English (fluent), French (working knowledge)

Skills & Technologies