Minimum qualifications:
- Bachelor's degree in Accounting or Finance, or equivalent practical experience.
- 4 years of experience in finance or treasury.
- Experience with programming languages such as Python, JavaScript, R, and SQL.
Preferred qualifications:
- MBA.
- Experience in repository management.
- Experience with machine learning frameworks such as TensorFlow.
- Experience with financial modeling.
- Excellent communication and organizational skills.
- Interest in learning about financial instruments, treasury operations, and applying analytical knowledge within investment frameworks.
About the job
Google's Treasury team is on a mission to optimize the return on Google's financial assets. As a member of this team, you're always looking for innovative ways to help Google invest for the future while limiting volatility and material surprises. In addition to risk busting and asset management, you work collaboratively to administer business insurance programs and stock programs, and provide financial analysis support to our internal teams. You make creative yet calculated decisions that are backed by both experience and your extensive knowledge of the economy and financial industry.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
- Support development and implementation of advanced data-driven solutions for Treasury decision-making frameworks, utilizing quantitative techniques, including AI/ML.
- Manage data vendor relationships, optimize data feeds, and enhance Treasury's data repository to make it accessible for insights cross-Treasury and Finance.
- Create advanced visualizations and reports to clearly communicate data insights to stakeholders and leadership.
- Advocate best practices in data analytics, research emerging techniques and technologies, and promote continuous improvement in processes, standards, and engineering practices.
- Build and oversee a selection of investments that will meet the long-term financial goals and risk tolerance of an investor.