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Treasury Quantitative Analyst

Google
New York City, USA
Senior · 7+ years experience
Onsite
USD 141000-205000 / year
Discovered 4 days ago
gcppython

Full Job Posting

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.

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.

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