Note: The job is a remote job and is open to candidates in USA. ZappHire is a Peter Thiel backed AI startup seeking a Finance Lead. The role involves building complex financial models and managing finance contributors while automating workflows and identifying patterns in AI finance models.
Responsibilities
- Build high-difficulty finance tasks (M&A diligence, data room analysis, LBO/DCF modeling, QoE bridges, consent schedules) that frontier AI labs use to evaluate and improve their models
- Construct production-grade financial models — three-statement models, LBOs, credit models, EBITDA bridges — to the standard of a top-tier banking or PE deal team, serving as ground truth for frontier AI
- Manage and quality-control networks of specialized finance contributors (former bankers, PE associates, accountants) — setting standards, writing rubrics, and catching what others miss
- Automate workflows using Claude Code, Claude Cowork, and agentic tools to scaffold tasks, audit model outputs, build internal tooling, and compress weeks of expert review into days
- Own critical finance data projects end-to-end from scoping through delivery — working directly with research teams at frontier labs and iterating on dataset specifications
- Identify patterns in where top AI models fail on finance workflows and design tasks that systematically expose those failure modes
Skills
- 2+ years of experience in investment banking or private equity
- Hands-on financial modeling proficiency (three-statement models, LBOs, DCFs built from scratch)
- Comfortable working in high-intensity, fast-moving environments with live deal experience
- Track record of producing rigorous, defensible financial analysis
- 2 - 5 years of experience in top-tier IB, PE, or transaction advisory
- Hands-on modeling built from scratch (3-statement / LBO / DCF) - not sourcing only
- Real deal/transaction reps (M&A, buyouts, diligence)
- Bachelor's degree in finance, economics, or related field
- Advanced Excel proficiency for building financial models from scratch
- Data room fluency — CIMs, QoE reports, consent schedules, purchase agreements
- Comfortable with 55 hrs/week minimum and heavily variable commission comp structure
- Experience managing other finance professionals
- Familiarity with AI tools (Claude, ChatGPT, Codex, or similar)
Company Overview