Financial Analyst

Key Responsibilities

• Create detailed prompts and gold-standard finance outputs (models, assumptions tables, narratives, sensitivity analyses, investment-style summaries).
• Evaluate and rank AI responses to improve numeric correctness, rigor, clarity, and practical usefulness.
• Test AI outputs for calculation errors, misleading interpretations, unsafe assumptions, and bias; validate reliability across business scenarios.

Requirements

• Bachelor’s degree (or higher) in Finance, Accounting, Economics, Business, Mathematics/Statistics, or a related field; CFA/MBA is a strong plus.
• 5+ years of professional experience in financial analysis (FP&A, corporate finance, investment banking, equity research, consulting, or similar).
• Strong command of core finance concepts: 3-statement logic, cash flow drivers, working capital, margin analysis, capital allocation, and basic corporate accounting linkage.
• Proven experience building and reviewing financial models (forecasting, scenario/sensitivity analysis, cohort/unit economics, pricing/packaging analyses).
• Comfortable with valuation reasoning (DCF mechanics, comps selection, multiple drivers) and clearly stating assumptions and limitations.
• Strong quantitative rigor and attention to detail (units, sign conventions, time horizons, circularity, error-checks).
• Ability to communicate complex analyses clearly in writing (executive summary, key drivers, risks, recommendations); minimum C1 English proficiency.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Prior experience with AI data training/annotation, finance QA, investment memo review, or analytics editorial work is strongly preferred.