Operational Finance & Assurance (FP&A) Expert - AI Training & Evaluation
New
J
JobgetherFinance and AI
Fully remote work from anywhere within the United States.ContractSenior
Salary35 - 42 USD per hour
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Job Details
- Languages
- English
- Experience
- At least 4 years of professional experience
Requirements
- Bachelor’s degree in Finance, Accounting, Economics, Mathematics, Statistics, Business, or a related discipline.
- At least 4 years of professional experience in Operational Finance & Assurance, FP&A, Investment Banking, Corporate Finance, Fixed Income Research, Quantitative Finance, or a related financial discipline.
- Strong practical knowledge of budgeting and forecasting, financial reporting, variance analysis, reconciliations, month-end close, project financials, financial controls, KPI reporting, and business performance analysis.
- Strong analytical and critical-thinking capabilities, with the ability to assess complex financial problems.
- Excellent written English communication skills and the ability to explain financial reasoning clearly and precisely.
- Ability to critically review technical content, research, financial analyses, or business reports.
- Strong attention to detail and a methodical approach to reviewing calculations, assumptions, data, and financial conclusions.
- Comfortable working independently, managing project-based assignments, and meeting deadlines in a fully remote environment.
- A reliable internet connection and the ability to work effectively with distributed project teams.
- CFA Charterholder or CFA Candidate, ACCA, ACA, CMA, MBA Finance, M.Com, or comparable credentials are preferred.
- Previous exposure to AI, machine learning, data annotation, model evaluation, or AI training projects is a plus.
Responsibilities
- Create and review finance-related prompts, business scenarios, analytical exercises, and evaluation tasks covering operational finance and FP&A topics.
- Evaluate AI-generated financial responses for accuracy, logical reasoning, completeness, and relevance to real-world business situations.
- Review financial analyses, assumptions, calculations, forecasts, recommendations, and supporting reasoning to identify errors or inconsistencies.
- Apply professional finance expertise to assess whether AI outputs reflect sound financial principles, business judgment, and appropriate analytical methodologies.
- Identify inaccuracies, gaps, ambiguous reasoning, and opportunities to improve AI-generated financial content.
- Provide structured feedback, quality assessments, and detailed explanations that can be used to improve model performance.
- Support the development and refinement of AI systems designed to understand complex financial concepts and business problems.
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