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.
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.
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.
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.
