Finance Domain Expert
Quick Overview
Job Description
Finance Domain Expert
Duration : Contingent role
100% Remote
5+ Years candidate
About the role.
- We build the evaluation data that teaches and grades frontier AI models on real financial-analyst work.
- As a Finance Domain Expert, you design challenging, realistic prompts backed by public source documents (10-Ks, 10-Qs, earnings releases, credit/merger agreements, loan tapes, CSV data), probe where the model breaks, and encode expert judgment into precise, gradable rubrics and a canonical golden answer. Your work is the ground truth used to measure and improve model performance on valuation, M&A, LBO, credit, FP&A, and quantitative analysis.
- What we're looking for
- How we evaluate candidates.
- The strongest profiles pair genuine finance depth with hands-on GenAI-evaluation experience in our screening, GenAI-eval experience was the single clearest differentiator, and a finance credential alone was not sufficient.
Signal | What we look for | Weight |
Finance domain depth | IB / M&A / LBO / valuation / credit / FP&A / quant; reading 10-Ks and multi-step calculations. CFA (strongest), FRM, CPA, CA, or MBA-Finance. | Primary |
GenAI / LLM evaluation | Prompt engineering, rubric / golden-answer authoring, annotation, RLHF, red-teaming, or model QA. | Primary |
Analytical rigor & communication | Structured problem-solving and precise written communication. | Secondary |
Must-haves
- 5+ years in a hands-on finance role (investment banking, private equity, equity/credit research, corporate development, FP&A, or quantitative finance).
- CFA charterholder Level II or III (the strongest single credential for this role); FRM, CPA, CA, or MBA-Finance also valued.
- Demonstrated ability to read primary source documents (10-Ks, 10-Qs, credit/merger agreements) and perform multi-step calculations from them.
- Hands-on GenAI / LLM evaluation experience prompt engineering, rubric or golden-answer authoring, data annotation, RLHF, red-teaming, or model quality assessment.
- Precise, structured written communication and strong attention to detail.
- Comfort working independently to a documented methodology, with rework loops, until every quality check passes.
- Professional Experience at reputable finance firms and/or an advanced degree.
- Prior work authoring evaluation datasets or grading model outputs at scale.
Skills
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