FP&A & Treasury Analyst for AI Training Data

Mercor; Dallas (TX); On-site; USD 90,000 - 180,000; Full time

Job summary

Mercor is collaborating with a leading AI lab to engage seasoned FP&A and treasury professionals. You will translate real planning, analysis, and cash management tasks into structured training data to teach AI how finance teams actually operate.

The role focuses on designing realistic scenarios, reviewing AI outputs for accuracy, and providing actionable feedback to improve AI planning and cash management capabilities. Collaboration with a remote research team is expected.

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.
• Strong written communication and attention to detail.

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

Treasury / cash management

Written communication

Education

Bachelor's degree in Finance/Accounting

MBA (Finance)

Job description

Mercor is collaborating with a leading AI lab to engage seasoned FP&A and treasury professionals. You will translate real planning, analysis, and cash management tasks into structured training data to teach AI how finance teams actually operate.

The role focuses on designing realistic scenarios, reviewing AI outputs for accuracy, and providing actionable feedback to improve AI planning and cash management capabilities. Collaboration with a remote research team is expected.