Finance Subject Matter Expert, AI Models, Evaluations and Data
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
Frontier labonsite$207k–$300k
At a glance
Highlights
- Build frontier financial reasoning agents across Gemini and enterprise harnesses.
- Design end-to-end finance benchmarks with deterministic grading rubrics.
- Diagnose multi-step agent trajectories and repair near-miss model reasoning.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
Institutional finance veteran who loves dissecting models and mentoring AI, eager to embed real-world financial rigor directly into frontier models and evaluations.
Requirements
- Master's degree in Finance, Economics, quantitative fields or equivalent practical experience
- 5 years of institutional finance experience in investigative, modeling-intensive roles (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 errors into grading rules
- CFA, CPA, MBA, JD, MFE or advanced quantitative degree in Finance, Computer Science, Math, or Economics
- Background building benchmarks, rubrics, or SFT/RLHF pipelines at AI labs, fintechs, or quantitative teams
- Familiarity with market data feeds, SEC EDGAR, Capital IQ, FactSet, Bloomberg, ERP/EPM, and tax/audit platforms
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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