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

Google Mountain View, CA Open
Google is looking for Finance Subject Matter Expert, AI Models, Evaluations and Data, DeepMind in Mountain View, CA.
This local job opportunity with ID 3932016809 is live since 2026-11-01 20:09:15.
Overview

As a Finance SME at Google DeepMind, you will embed domain expertise in financial workflows within advanced AI systems. You'll build end-to-end benchmarks, deterministic grading rubrics, and verifiable reward signals for multi-step agent tasks across Quantitative Trading, Corporate Finance, and Alternative Asset Management. You will diagnose and repair reasoning traces, collaborating with researchers, engineers, and product managers to advance AI-driven finance capabilities. Your work directly shapes scalable, auditable financial AI workflows with safety and ethics as core priorities.

Compensation / Benefits
  • bonus target of 20%
  • equity
  • benefits
  • opportunity for location: Mountain View or New York
  • collaborative, research-driven environment
  • career development in AI finance
Responsibilities
  • Design and implement end-to-end financial benchmarks for AI agents
  • Create atomic, deterministic grading rubrics and evaluation protocols
  • Diagnose multi-step agent trajectories and repair near-miss reasoning traces
  • Develop verifiable reward signals and domain-specific agent skills
  • Collaborate with Research Scientists, Post-Training Engineers, and Product Managers to integrate finance workflows
  • Drive improvements in AI-driven FP&A, Audit and Tax domains within finance AI
  • Contribute to safety, ethics, and governance considerations in financial AI systems
Key requirements
  • 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 these errors into generalizable grading rules
  • Master's degree in Finance, Economics, or quantitative field
  • Strong collaboration across cross-functional teams
  • collaborative
  • analytical rigor
  • strong communication
  • Python
  • SQL
  • frontier LLMs / AI evaluation pipelines
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Required Skills

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