Quantitative Technologist – Treasury Analytics

Tasks

• Build value add analytics for Treasury trading decisions
• Contribute across software development lifecycle from design to deployment and production support
• Design develop and maintain production grade analytical and trading applications for Treasury Desk
• Design software architectures and data solutions integrating Treasury data ecosystem with platform
• Develop real time analytics and AI enabled agent workflows
• Improve analytics platform performance reduce read latency and improve scalability
• Improve engineering standards technical architecture and development practices
• Integrate new datasets for trade idea generation and financing analysis
• Translate trading requirements into scalable technical solutions

Perks/Benefits

• Work-life balance initiatives

Skills/Tech-stack

AWS | Artificial Intelligence | C++ | Caching | Data Processing | Data integration | Database Indexing | Design Patterns | Docker | Infrastructure as Code | Java | Kubernetes | Machine Learning | Object-Oriented | Object-oriented design | Partitioning | Python | Quantitative modeling | Query Optimization | Real Time | Real-time Data | Real-time Data Processing | SQL | Software Architecture | Statistics | “as-code”