Finance Subject Matter Expert, AI Models, Evaluations and Data, DeepMind

What you'll do

• Evaluate AI reasoning across calculations, ledger searches, code, financial models, and multi-step workflows; identify errors and create reusable grading rules.
• Create realistic financial tasks, gold-standard examples, benchmarks, prompts, checklists, and stress tests for models and automated graders.
• Help AI use financial tools effectively and develop domain-specific agent skills and verifiable reward signals.

What they ask for

• Master's degree in Finance, Economics, quantitative fields, or equivalent practical experience.
• 5 years of institutional finance experience in investigative, modeling-intensive roles in Quantitative Trading, Corporate Finance, or Alternative Asset Management.
• Experience with frontier LLMs, coding agents, or AI evaluation pipelines, including structured prompts and tool-use traces.
• Experience identifying flaws in AI-generated financial models, backtests, or memos and translating them into generalizable grading rules.

Nice to have

• CFA, CPA, MBA, JD, MFE, or an advanced quantitative degree in Finance, Computer Science, Math, or Economics.
• Experience building benchmarks, rubrics, or SFT/RLHF pipelines; domain-specific Python and SQL or spreadsheet expertise; familiarity with named financial data, research, and business systems.

Pay

$207000 - $300000 (USD) base salary

Tools

Python, SQL, SEC EDGAR, Capital IQ, FactSet, Bloomberg, ERP/EPM, SFT/RLHF

AI focus

Improve frontier AI financial reasoning and agentic capabilities through model evaluation, post-training data, financial benchmarks, grading rubrics, error analysis, reward signals, and domain-specific agent skills.