GenAI Finance Analyst: AI Cost & Forecasting

Google DeepMind

Mountain View (CA)

On-site

USD 155,000 - 166,000

Full time

10 days ago

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Job summary

Google DeepMind is looking for a Financial Analyst to join the Finance team with a dual focus on data-cost management for Generative AI and central consolidation of financial forecasts across DeepMind.

You will help our technical teams make smart financial decisions while providing accurate financial visibility across the organization. You will build clear cost estimates and explore what-if scenarios for model development, guiding spending in AI initiatives.

Qualifications

  • Bachelor's degree or equivalent practical experience in a quantitative field.
  • 4 years of experience working with technical or R&D teams in AI/ML.
  • Experience building financial models and tracking ROI for uncertain investments.
  • Experience with SAP or SQL data sets.

Responsibilities

  • Work with GenAI teams on forecasts, budget management, and planning, linking spending to technical outcomes.
  • Create financial forecasts to show cost impact of technical choices and scale plans.
  • Support monthly forecasting across DeepMind to ensure accurate financial reporting.
  • Communicate financial details to research teams and central Google Finance with actionable insights.
  • Collaborate with Corporate Finance, Partnerships, and central Google Finance teams.

Skills

Financial modeling
ROI analysis
Cross-functional collaboration
Analytical thinking

Education

Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field

Tools

SQL
SAP

Job description

Google DeepMind is looking for a Financial Analyst to join the Finance team with a dual focus on data-cost management for Generative AI and central consolidation of financial forecasts across DeepMind.

You will help our technical teams make smart financial decisions while providing accurate financial visibility across the organization. You will build clear cost estimates and explore what-if scenarios for model development, guiding spending in AI initiatives.

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