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Barclay Simpson is seeking experienced finance professionals for a remote contract that tests how AI models handle real finance work: valuation, modelling, credit analysis, budgeting, and variance analysis. You will design tasks from your day-to-day work, run them through AI models, and judge results against professional standards.
The role requires hands-on modelling skills, a finance degree, excellent English, and comfort using AI tools at work.
We are recruiting experienced finance professionals for a company that tests how well leading AI models handle real finance work: valuation and modelling, credit analysis, investment memos, budgeting and variance analysis, treasury and risk. You bring the judgment you have built sending analyst notes back for buried assumptions, defending a model to an investment committee, or explaining a variance to a CFO. The AI output that judgment is needed to grade is supplied.
Depth in at least one area is enough: equity or fixed income research, portfolio management or trading, corporate finance and FP&A, credit analysis, investment banking or M&A, treasury, market or credit risk, wealth management, or insurance and actuarial work. A working understanding of the others helps.
You start with a skills assessment of about 2 hours, which is unpaid. It tests your subject knowledge, careful reading, and how you judge an AI answer against a professional standard. All work must be your own. Submissions produced with AI tools are rejected, and this is the most common reason people do not pass.
If you pass, you complete onboarding, do a short training project, then move on to regular paid projects in your field. You are paid for every step you complete. Not every submission is accepted, and feedback and revision are a normal part of the process. Support comes through written guides, a dedicated Slack channel and office hours.
The company behind this works with leading AI labs and wants practising professionals, not AI training AI.