Quantitative Analyst jobs in United Kingdom

corporate_fare Google place London, UK

Apply

• Master's degree in Economics, Statistics, Data Science, Public Policy, Business, Finance, a related field, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.

• PhD in Economics or a related field with a focus on labor economics, policy evaluation, industrial organization, or applied econometrics.
• 6 years of experience using analytics to solve product or business problems, economic research, coding (e.g., Python, R, SQL), querying databases, or statistical analysis.
• Experience conducting research or other innovative analyses, involving methodologies or data sources and working with text data or datasets.
• Experience with AI tools and technologies, with a passion for understanding their wider economic impact.
• Ability to communicate technical analyses to non-technical stakeholders and senior management.

Google's AI and Economy program is a high-priority, cross-functional initiative focused on producing research, engaging top academics and policymakers, and building new data products to understand AI's economic impact. You will help design and deliver projects, measuring and communicating to the world about the economically meaningful AI usage in Google products and its implications for the wider economy. You will also widely support research efforts.

• Design and conduct research on the economic impacts of AI technologies by pioneering novel data sets and empirical methodologies.
• Develop new conceptual frameworks and taxonomies to systematize ways in which users and businesses engage with AI products, drawing as needed on existing economic research and input from academic advisors.
• Communicate the research findings externally through high-impact research publications, media articles, and stakeholder presentations.
• Position Google at the forefront of economic AI research by building strategic partnerships with external academic partners, global policy bodies, and think tanks, and leverage these partnerships to improve our research and amplify its impact on evidence-based policymaking.
• Maintain effective working relationships with partners across Google, including GDM, Research, Public Policy, Search, Google Trends, Behavioral Economics, to leverage inputs from other teams and communicate research findings to support product strategy decisions.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.