Treasury Quantitative Analyst

Google•Sunnyvale, CA

2d•$141,000 - $205,000

About The Position

The Treasury Quantitative Analyst is a high-impact role focused on applying cloud technology, AI, and data science to strategic Treasury challenges. The analyst will navigate Google's technology ecosystem and internal systems to build robust solutions, while working across functions to gain buy-in and integrate new technical solutions into Alphabet's financial workflows. The role combines quantitative analysis and risk assessment with development of applications for Treasury systems and processes. The solutions will inform strategic cash management, risk, and investment decisions across Alphabet. The position emphasizes autonomy, curiosity about emerging technology, and applying cloud technology, Python development, and AI to complex Treasury problems.

Requirements

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.

Nice To Haves

Practical experience deploying and maintaining applications in a major public cloud environment, such as Google Cloud.
Practical experience developing or implementing end-to-end AI/ML-enabled applications.

Responsibilities

Lead the design, roadmap, and execution of next-generation AI-powered Treasury systems, guiding technical direction for automation and quantitative modeling.
Drive development of scalable Python architectures and 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; research emerging AI technologies and agentic workflows to innovate cash management and risk assessment.