Senior AI Finance Domain Expert (PE/VC)

DigiNo; Northern (KY); Hybrid; USD 180,000 - 280,000; Full time

Job summary

Cincinnatus LLC is seeking a senior finance domain expert to work with a leading AI lab's research and program management teams, refining how frontier models reason about real financial work.

This is a full-time W-2 position. You will be on-site in the Bay Area, with relocation at your own cost if not local, and you will work inside the client's tools alongside research teams, contributing to data QA, instruction specs, golden datasets, and benchmarks.

Qualifications

• 5+ years of substantive, dedicated professional finance experience at a recognized institution.
• Genuine specialization in at least one core finance discipline (e.g., FP&A, investment banking, asset management, PE/credit, risk, treasury, or accounting).
• Senior IC or leadership level with ownership of analysis and decisions.
• Advanced degree (MBA/MS/PhD) and/or professional credentials (CFA/CPA/FRM).
• Hands-on AI fluency and ability to use large language models in professional work.
• Availability for 40 hours/week for 6 months minimum.
• Bay Area living and on-site work, relocation at own cost if not local.

Responsibilities

• Data QA and reviews: Vet finance knowledge work tasks and model outputs for accuracy and rigor.
• Write instruction specs and golden solutions for financial problems and define new tasks.
• Design finance benchmarks and domain-specific evaluation sets.
• Calibrate standards with researchers to translate tacit financial judgment into explicit criteria.

Skills

Finance domain expertise

AI fluency

Written communication

Education

MBA/MS/PhD in finance or quantitative field

CFA/CPA/FRM

Job description

Cincinnatus LLC is seeking a senior finance domain expert to work with a leading AI lab's research and program management teams, refining how frontier models reason about real financial work.

This is a full-time W-2 position. You will be on-site in the Bay Area, with relocation at your own cost if not local, and you will work inside the client's tools alongside research teams, contributing to data QA, instruction specs, golden datasets, and benchmarks.