Financial Planning & Analysis (FP&A) Professional – AI Evaluation Project

Financial Planning & Analysis (FP&A) Professional – AI Evaluation Project

Location: United States
Engagement: Contract / Project-Based
Experience: 3+ years (preferably under 10 years)

About the Role

We are looking for Financial Planning & Analysis (FP&A) professionals based in the US to support an AI evaluation project. The ideal candidate should have strong hands-on experience in financial analysis and reporting, along with the ability to work comfortably with Google Workspace, basic code/configuration files, and AI-powered tools.

Key Responsibilities

• Work on financial modelling, forecasting and variance analysis.
• Perform vendor spend and headcount reconciliation.
• Prepare and review executive-level financial reports and presentations.
• Work extensively with Google Sheets and Google Slides to analyse and present financial information.
• Use formulas, create pivot tables and organise data in Google Sheets.
• Review and edit JSON files and make basic code/configuration changes.
• Commit changes using Git and work with GitHub pull requests.
• Operate AI agent/harness environments such as Antigravity or Claude Code.
• Follow structured evaluation guidelines and provide detailed, objective feedback on AI-generated outputs.

Required Qualifications & Skills

• 3+ years of professional experience in FP&A, financial analysis, corporate finance, or a closely related field.

• Strong hands-on experience with:

  • Financial modelling
  • Forecasting and variance analysis
  • Vendor spend reconciliation
  • Headcount reconciliation
  • Executive reporting

• Proficiency with Google Workspace, particularly:

  • Google Sheets
  • Google Slides
  • Google Docs

• Comfortable using Google Sheets formulas and pivot tables.

• Comfortable editing JSON files and making basic code/configuration changes.

• Familiarity with Git/GitHub, including committing changes and creating or reviewing pull requests.

• Comfortable working with AI agent tools/harnesses, such as Antigravity or Claude Code.

• Strong attention to detail and ability to follow structured instructions.

Preferred Qualifications

• Prior experience in LLM/AI evaluation.
• Experience with rubric design or evaluation frameworks.
• Background in management consulting.
• Experience working on AI, data, or technology-focused projects.

Ideal Candidate

The ideal candidate is a finance professional who combines strong FP&A fundamentals with technical adaptability. You should be comfortable working with financial data and executive reporting while also navigating spreadsheets, JSON files, GitHub, and AI-powered development/evaluation environments.

If you have strong FP&A experience and are interested in applying your financial expertise to an AI-focused project, we encourage you to apply.