Treasury Quantitative Analyst
New York, NY, USA +1 · Full-time · Posted Oct 27, 2026
- Location
- New York, NY, USA
Sunnyvale, CA, USA - Experience
- 7 years of experience in software development or quantitative analytics.
- Education
- Bachelor's degree in Econometrics, Finance, Math, Statistics, Computer Science, Data Science, or equivalent practical experience.
About the job
Designs and delivers AI-enabled Treasury systems and quantitative applications that support Alphabet’s cash management, risk assessment, and investment decisions.
What you'll do
- Lead the design, roadmap, and execution of AI-powered Treasury systems and quantitative modeling.
- Develop, deploy, maintain, and document scalable Python-based financial applications and workflows.
- Partner with Cloud, Data Science, and Finance teams to integrate cloud-native technology and automate Treasury data and decision processes.
What they ask for
- 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, including 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 have
- 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.
Pay
$141000 - $205000 USD base salary
Tools
Python, Google Cloud
AI focus
Build AI-powered Treasury systems and AI-infused financial applications; research emerging AI technologies and agentic workflows for cash management and risk assessment.
Model-written summary · the original posting is authoritative