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

Job description

info_outline About the job DeepMind is building frontier financial reasoning and agentic capabilities across Gemini and our enterprise agent harnesses. Moving AI from a generalist research assistant to an agent that can autonomously complete financial workflows requiresmore than raw pre-training scale - it requires deep domain mechanics embedded directly into how models are post-trained, how agent harnesses and tools are architected, and how evaluations measure real-world finance.

As a Finance Subject Matter Experts (SME), you will work with models, evaluations, and post-training data in the following three Finance domains - Quantitative Trading Corporate Finance - specifically with experience across FP&A, Audit and Tax Alternative Asset Management Unlike traditional advisory roles that stop at high-level feedback or static prompt writing, you will sit directly in the model development loop alongside Research Scientists, Post-Training Engineers, and Product Managers.

You will prioritize differentiated financial workflows, design end-to-end financial benchmarks, construct atomic and deterministic grading rubrics, diagnose multi-step agent trajectories, repair near-miss model reasoning traces, design verifiable reward signals, and co-build domain-specific agent skills. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.

We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.