Financial Analyst, GenAI, DeepMind

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.We're looking for a Financial Analyst to join the DeepMind Finance team in a role that has a dual focus: managing data costs together with Generative AI and central consolidation of financial forecasts across all of DeepMind. In this role, you will help our technical teams make smart financial decisions while providing accurate financial visibility across the organization.You will work side-by-side with the teams developing Generative AI while driving central forecast processes. This means you will need to get comfortable with the technical side of things – how models are built, trained, and used – as well as core Financial Planning and Analysis (FP&A) reporting. You will use that understanding, and your finance skills, to create clear cost estimates, explore different "what-if" scenarios for model development, and give practical advice on how to spend effectively.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $155000 - $166000 (USD) + 15% bonus targetLearn more about benefits at Google.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.