Financial Analyst, GenAI, DeepMind
Summary
A Financial Analyst at DeepMind focuses on managing data costs and financial forecasts for Generative AI, collaborating with technical teams to create cost estimates and optimize spending while ensuring accurate financial reporting across the organization.
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.
US: $155000 - $166000 (USD) + 15% bonus target
Learn more about benefits at Google.
- Work with the GenAI teams on regular finance tasks like forecasts, budget management, and planning for the year ahead, improve Return on Investment (ROI) metrics by linking spending decisions to measurable technical outcomes.
- Create financial forecasts to show the cost impact of different technical choices or ways to scale up our AI work. Help build budgets based on these forecasts.
- Provide support for monthly forecasting processes across all of DeepMind, working together with other FP&A team members to ensure accurate and timely financial reporting.
- Communicate financial details to research teams as well as central Google Finance, offering insights they can act on.
- Work closely with cross-functional teams (like Corporate Finance and Partnerships), technical teams across DeepMind, and central Google Finance teams.
Minimum qualifications:
- Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
- 4 years of experience working with technical or research and development teams in AI/ML.
- Experience building financial models, tracking return on uncertain investments.
- Experience with SAP financial data systems or experience working with data sets in SQL.
Preferred qualifications:
- Experience with bringing structure to messy problems and able to navigate ambiguous situations.
- Ability to be organized, pay attention to the details, think strategically, and can manage multiple things at once in a fast-moving environment.
- Interested in AI, machine learning, and especially Generative AI.