FP&A Expert
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Job Description
FP&A expert reviewing AI-agent accuracy in Financial Forecaster for Mercor, which trains frontier AI models. Improving task realism and grading for financial forecasting and lender-reporting workflows.
Responsibilities:
- Review and QA AI-agent rollouts in Financial Forecaster against the actual model and source documents
- Determine whether agents use the correct scenario, account, coordinate, accounting basis, conclusion, and deliverable
- Identify failure modes and tasks that are too easy or solvable without using Financial Forecaster
- Refine task prompts and seeded worlds to reflect authentic FP&A and lender-reporting work
- Update grading guidance so correct answers pass and wrong answers fail
- Detect gating failures, including wrong scenario or vintage, wrong accounting basis, excluded add-backs, unwritten model corrections, and conclusions given away by source documents
- Catch plausible-but-wrong answers involving incorrect grain or inconsistencies across reporting packs
- Work on projects training and enhancing AI systems for Mercor and its AI-lab and enterprise partners
Requirements:
- Use Financial Forecaster regularly, weekly or more, as part of current or recent professional work
- 5+ years of professional experience in FP&A, financial reporting, technical accounting, lender reporting, treasury, or controllership
- Experience as an FP&A analyst/manager, financial reporting analyst, technical accounting analyst, treasury/lender-reporting analyst, or controller
- Ability to navigate multidimensional models, dimensions, account hierarchies, and exact-grain cube slices
- Ability to create, configure, identify, and lock scenarios, including understanding parent inheritance and forecast vintage
- Ability to distinguish input accounts from calculated accounts and determine when to edit formulas versus override assumption cells
- Experience loading actuals and driver data through CSV imports with correct units and scale
- Knowledge of scenario notes, driver notes, policy notes, planning notes, assumption change logs, and variance commentary
- Ability to identify tasks and outputs Financial Forecaster cannot produce
- Ability to read models, reporting packs, scenarios, overrides, and inherited values
- Ability to trace reported figures to their account, scenario, and coordinate and distinguish genuine tie-outs from coincidences
- Knowledge of entity, department, segment, consolidated, product, region, time, and facility dimensions
- Knowledge of covenant mechanics, including frozen GAAP, test periods, fixed charge coverage, total net leverage, EBITDA add-backs and caps, funded indebtedness, borrowing base, eligible accounts, redetermination, and compliance certificates
- Understanding of parent/child scenarios, consolidated versus entity results, and the effect of amendments, consents, or waivers
- Knowledge of GAAP, non-GAAP, covenant measures, non-GAAP reconciliation, AICPA PFI guidance, ASC 205-40, ASC 280, SAB 99 / Topic 1M, Release 33-10751, and Reg S-K Item 303
- Ability to identify correct document types and complete deliverables
- Familiarity with scenario creation and locking, saved views, and exports for large result sets
- Sound judgment on accuracy and completeness, including identifying plausible-but-wrong answers
- Bonus: credit agreement compliance and borrowing base reporting; going concern or impairment analysis; segment reporting; SEC reporting or disclosure committee experience; hands-on experience across multiple models and entities
- CPA, CFA, or MBA welcome but not required
- Must be eligible to work without H1-B or STEM OPT support
Benefits:
- Fully remote role with flexible scheduling
- Projects can be extended, shortened, or concluded early depending on needs and performance
- Weekly payments via Stripe or Wise
- Competitive pay
- Collaboration with leading researchers
- Opportunity to help shape next-generation AI systems
- Referral payments of up to $440 per successful referral (restrictions may apply)
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