Minimum qualifications:
- Bachelor's degree in Econometrics, Finance, Math, Statistics, Computer Science, Data Science, or equivalent practical experience.
- 7 years of experience in software development or quantitative analytics, and coding across multiple languages with a primary focus on Python-based tool development and web applications.
- Experience in software development or quantitative analytics using Python.
Preferred qualifications:
- Practical experience deploying and maintaining applications in a major public cloud environment (e.g., Google Cloud).
- Practical experience developing or implementing end-to-end AI/ML-enabled applications.
About the job
Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.
The Treasury Quantitative Analyst is a high-impact role requiring exceptional drive and a commitment to continuous learning in the rapidly evolving fields of cloud technology and AI. In this role, you will proactively apply innovations to address strategic Treasury challenges, independently navigating Google's complex technology ecosystem and internal stacks to build robust solutions. Beyond technical execution, you will serve as a bridge between functions, collaborating closely with cross-functional partners to build comfort, gain buy-in, and successfully integrate new technical solutions into Alphabet's financial workflows.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead the design, roadmap, and execution for the next generation of AI-powered Treasury systems, guiding technical direction for automation and quantitative modeling.
- Drive the development of scalable Python architectures and build robust, AI-infused financial applications and workflows.
- Manage end-to-end implementation, including deployment, maintenance, performance tuning, and comprehensive documentation standards.
- Collaborate with Google Cloud, Data Science, and Finance teams to integrate new technology and cloud-native applications into Treasury workflows.
- Automate complex data compilation, cleansing, and decision-making frameworks, researching emerging AI technologies and agentic workflows to innovate cash management and risk assessment.