FP&A & Treasury AI Data Trainer

Obsidian

San Francisco (CA)

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Mercor, in collaboration with a leading AI lab, seeks experienced FP&A and treasury professionals to translate real planning and cash management work into structured training data for AI that reasons like finance teams.

You will design scenarios such as budgets, rolling forecasts, 13-week cash flow, and debt/covenant schedules, then assess AI outputs and provide clear feedback to improve future performance.

Qualifications

  • Finance/MBA background with strong financial-modeling skills and hands‑on cash / treasury exposure.
  • CTP (Certified Treasury Professional) a plus for treasury‑leaning candidates.
  • Corporate FP&A or treasury experience at a mid‑size or larger company.
  • Bachelor's degree in Finance, Accounting, or a related field

Responsibilities

  • Design realistic scenarios from your work — operating budgets and rolling forecasts, flux / variance analysis and commentary, 13‑week cash flow forecasts, daily cash positioning & bank administration, FX revaluation, debt / covenant compliance schedules, and formula-driven financial models
  • Review and compare AI-generated FP&A / treasury outputs for accuracy and sound judgment on assumptions
  • Provide clear written feedback that improves how AI performs planning and cash‑management tasks
  • Collaborate asynchronously with the research team

Skills

Financial modeling
Cash/treasury exposure

Education

Bachelor's degree in Finance, Accounting, or related field
MBA in Finance/Accounting

Tools

CTP certification

Job description

Mercor, in collaboration with a leading AI lab, seeks experienced FP&A and treasury professionals to translate real planning and cash management work into structured training data for AI that reasons like finance teams.

You will design scenarios such as budgets, rolling forecasts, 13-week cash flow, and debt/covenant schedules, then assess AI outputs and provide clear feedback to improve future performance.

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