
Treasury Quantitative Analyst
- Dublin
- Permanent
- Full-time
- 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.
- 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.
- 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.