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Finance Expert Lead, Gemini Data

Google DeepMind · London, UK · Paris, France

CHECKED 14H AGO

Frontier labonsitelead$145k–$149k
Apply on the lab’s site ↗

At a glance

Highlights

  • Shape Gemini's foundational data strategy for the financial sector.
  • Map complex finance workflows into use-case taxonomy to close gaps.
  • Stress-test checkpoints on real workflows to uncover model failures.

What they offer

  • 20% bonus target
  • equity
  • benefits

Ideal candidate

Finance professional turned AI enthusiast who loves dissecting complex workflows and setting quality bars. You thrive bridging domain expertise with research teams to unlock AI value for finance.

Requirements

  • Master's degree in Finance, Economics, Business Administration, related quantitative field, or equivalent practical experience
  • Experience measuring performance of LLMs or generative AI tools and optimizing them for financial use cases
  • Demonstrated dual expertise bridging finance and technical roles
  • Experience breaking down complex workflows into tasks, evaluation rubrics, and quality standards for model training
  • Experience prioritizing capabilities and developing strategic view on AI value for financial professionals
  • Excellent cross-functional communication skills with experience collaborating with technical partners
  • Strong technical and research capabilities including programming, evaluating ML models, and applying LLMs to financial workflows

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)
More about Google DeepMind →
Apply on the lab’s site ↗