FP&A专员 - 全程远程 | 最高110美元/小时
FP&A Specialist - Fully Remote | Upto $110/hr
关于职位
Mercor将顶尖的创意和技术人才与领先的AI研究实验室连接起来。公司总部位于旧金山，我们的投资人包括Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers和Jack Dorsey。
职位：FP&A专家
类型：合同制
薪酬：70-110美元/小时
地点：远程办公
岗位职责
- 在Financial Forecaster中审查和质量保证AI代理的发布。根据实际模型和文档判断代理的回答。
- 识别代理过于容易成功或错误失败的情况。标记过于简单或无需使用Financial Forecaster即可解决的任务。
- 通过优化任务提示来提高真实性和难度。确保任务反映真实的FP&A和贷款报告工作。
- 更新评分指南以确保准确性。确保正确答案通过，错误答案被拒绝，包括设置失败门槛。
- 发现可能但错误的答案，这些答案可能被非专家评审者忽略。确保与整个套件保持一致。
资格要求
必须具备
- 频繁使用Financial Forecaster进行实际预测、契约或报告工作。
- 5年以上FP&A、财务报告、技术会计或贷款报告经验。
- 能够迅速阅读Financial Forecaster模型。识别输入、计算、覆盖项和管理场景。
- 熟悉Financial Forecaster的场景和导入机制。
- 具备对正确、完整答案的判断力。有信心将看似合理但错误的答案标记为错误。
优先考虑
- 信用协议合规和借款基础报告。
- 持续经营或减值分析。
- 分部报告、SEC报告或披露委员会经验。
- 在多个模型和实体上有实际操作经验。
申请流程（需要20-30分钟完成）
- 上传简历
- 基于简历的AI面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细信息，请查看：
- 如有任何帮助或支持，请联系：
备注：我们的团队每天都会审核申请。请完成AI面试和申请步骤，以考虑此机会。
最初发布于Himalayas
查看英文原文
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: FP&A Expert
Type:Contract
Compensation:$70–$110/hour
Location:Remote
Role Responsibilities
- Review and QA AI-agent rollouts in Financial Forecaster. Judge agent answers against the actual model and documents.
- Identify failure modes where agents succeed too easily or fail wrongly. Flag tasks that are too easy or solvable without using Financial Forecaster.
- Improve realism and difficulty by refining task prompts. Ensure tasks reflect authentic FP&A and lender-reporting work.
- Update grading guidance for accuracy. Ensure correct answers pass and wrong ones fail, including gating failures.
- Catch plausible-but-wrong answers that a non-expert reviewer might miss. Ensure consistency with the rest of the pack.
Qualifications
Must-Have
- Frequent hands-on Financial Forecaster use for real forecasting, covenant, or reporting work.
- 5+ years in FP&A, financial reporting, technical accounting, or lender reporting.
- Ability to read a Financial Forecaster model on sight. Identify inputs, calculations, overrides, and governing scenarios.
- Reflexive with Financial Forecaster's scenario and import mechanics.
- Sound judgment on correct, complete answers. Confidence to mark plausible answers wrong.
Preferred
- 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.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas