Job Summary
This role is responsible for spearheading the design and implementation of Treasury systems enhanced by artificial intelligence, as well as developing robust Python architectures. The position requires collaboration with various teams to facilitate the integration of cloud-native solutions and streamline intricate financial decision-making processes.
Responsibilities
- Lead the design and implementation of AI-driven Treasury systems.
- Develop scalable architectures using Python to support financial applications.
- Collaborate with cross-functional teams to integrate cloud-native services.
- Automate complex frameworks for financial decision-making.
Qualifications
- Bachelor’s degree in a quantitative discipline.
- Minimum of 7 years of experience in software development or quantitative analytics.
- Strong proficiency in Python programming.
- Experience working with cloud environments and AI/ML applications.
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