Financial Modeling Expert — AI Reviewer (Python & US Finance)

Overview

This role involves leveraging deep financial modeling expertise to audit, refine, and improve AI-generated financial modeling tasks. The goal is to ensure these tasks accurately reflect the workflows and standards of professional financial analysts. The position requires strong knowledge of US financial markets and terminology, proficiency in Python and GitHub, and the ability to edit technical documentation.

This is a fully remote, flexible contract opportunity with a commitment of 10–40 hours per week.

Responsibilities

• Audit AI-generated financial modeling tasks to verify they replicate professional analyst workflows accurately
• Validate task instructions and scoring rubrics for logical consistency, completeness, and real-world applicability
• Edit Markdown files and Python scripts via Pull Requests to correct logic errors, clarify ambiguities, and improve task quality
• Assess AI outputs for correct application of financial concepts such as discounted cash flow (DCF) analysis, profit and loss (P&L) interpretation, financial statement modeling, and valuation techniques
• Provide clear, structured feedback based on professional financial expertise
• Collaborate asynchronously with a distributed team using GitHub workflows
• Manage task-based assignments independently, working at your own pace and schedule

Requirements

• Extensive subject matter expertise in finance, with experience as an analyst, in investment banking, corporate finance, equity research, financial planning & analysis (FP&A), or a related field
• Strong command of US financial terminology and frameworks, including DCF, P&L, balance sheet analysis, weighted average cost of capital (WACC), and comparable company analysis
• Proficiency in Python, including reading, writing, and debugging scripts for financial calculations
• Experience using GitHub, including cloning repositories, creating branches, and submitting Pull Requests independently
• Ability to edit Markdown for technical documentation
• Detail-oriented with a systematic, quality-driven approach to reviewing work
• Clear and precise written communication skills to articulate issues and solutions effectively
• Self-motivated and reliable when working independently

Preferred Qualifications

• Professional certifications such as CFA, CPA, ACCA, or an MBA with a finance concentration
• Experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation
• Familiarity with US-listed companies, US GAAP reporting standards, or cross-border financial transactions
• Background in teaching, mentoring, or developing training materials related to financial concepts
• Experience with AI or machine learning evaluation workflows or data annotation projects
• Experience writing or reviewing technical rubrics or assessment criteria

Compensation & Benefits

• Hourly contract position
• Fully remote and flexible work schedule
• Opportunity to contribute to innovative AI projects in finance
• Potential for ongoing work and contract extensions based on project needs

Location

• Remote (candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions)