Investment Banking & M&A - Finance Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

Pay

Firm hourly pay: $100-$150 per hour

Location

Bay Area, CA

Eligibility

Location-specific or hybrid

Qualification difficulty

Selective

What this role involves

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior finance domain expert to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real financial work. Your finance expertise is the substance of this role.

You will review the quality of finance knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practising specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce.

You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts — relocation assistance is not provided. 2.

Key Responsibilities

Data QA and reviews: Vet the quality of finance knowledge work tasks and model outputs — spotting missing behaviors, thin reasoning, flawed assumptions, and answers that read well but would not survive professional scrutiny. Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to financial problems, and define new finance tasks that reflect how the work is actually done in practice.

Benchmarks and domain depth: Design challenging finance tasks and evaluation sets, and help build finance-specific skills and tools together with the research team. Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit financial judgment into explicit, teachable criteria. 3.

Core Qualifications Experience: 5+ years of substantive, dedicated professional finance experience at a recognized institution — for example an investment bank, asset manager, private equity or credit fund, Big Four firm, a large corporate finance function, or a financial regulator. Generalist roles that only touch finance peripherally do not count.

Domain depth: Genuine specialization in at least one core finance discipline, for example corporate finance and FP&A, investment banking and M&A, asset or wealth management, private equity or private credit, quantitative finance and risk management, treasury, or accounting and audit. Seniority: Clear progression to a senior individual-contributor or leadership level — for example Vice President, Director, Principal, Managing Director, Portfolio Manager, Controller, or CFO — with real ownership of analysis and decisions.