Card / Consumer Lending FP&A Analyst (Contract, Remote)

Patronus AI; United States; Remote; USD 76.000 - 172.000; Vollzeit

Zusammenfassung

Patronus AI is seeking an FP&A analyst to build budgets, forecasts and variance analyses for a card or consumer lending business. You will own driver-based models and management packs, and help demonstrate to frontier AI models how this work is done.

Prior AI background is not required. In this role you will review task packets, flag realism issues, write precise scoring rubrics, and create new tasks from fictional scenarios.

Qualifikationen

• Build budgets, forecasts and variance analysis for card or consumer lending.

Aufgaben

• Explain how the work is done in your role: the steps, the documents, who decides what, and where things go wrong.

Kenntnisse

Budgeting

Forecasting

Variance analysis

Driver-based models

Jobbeschreibung

Pay: $55–$125/hr

Commitment: Flexible, typically 10–20 hours per week

Patronus AI is a frontier lab building simulation research and infrastructure to accelerate progress toward human-aligned AGI. We built some of the earliest research in AI evaluation, including FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher and Humanity's Last Exam. Our team comes from Meta AI, Amazon AGI and Google. Our customers include foundation model labs and Fortune 500 companies, and we are backed by Lightspeed Venture Partners, Notable Capital and others.

We're looking for FP&A analysts in card or consumer lending who do this work today. In your role you build budgets, forecasts and variance analysis for a card or consumer lending business, and own the driver-based models and management packs behind them. You'll help us show frontier AI models how that work is really done, and where they get it wrong. You don't need an AI background.

What you'll do

• Explain how the work is done in your role: the steps, the documents, who decides what, and where things go wrong.
• Review realistic task packets, such as driver-based forecast models, budget and variance reports, management and board packs, and loss, NIM and interchange analyses, and flag anything a practitioner would find unrealistic.
• Write scoring rubrics precise enough that two independent reviewers reach the same verdict.
• Create new, original tasks from fictional scenarios, solve them yourself and document your reasoning.
• Work independently and asynchronously, meet agreed deadlines and work in reviewer feedback.