We are assembling a strong Quant Technology team to help the firm with stress liquidity management, analysis and optimisation. This team will work with researchers to develop and maintain in-house models and with the wider technology organisation to integrate with and improve Firm cash management processes. This ambitious project has stakeholders across Trading, Treasury and top level Management and will require high-quality, high-performance engineering skills.
Responsibilities
- Take part in the development and enhancement of the back-end distributed system, providing high performance and high availability margin and stress cash calculations and simulations to Senior Management, Portfolio Managers and Treasurers.
- Work closely with Quant researchers and developers, tech teams, middle office and business management teams in London, New York, Tel Aviv & Miami.
- Build micro services on top of in-house models and integrate it into the existing system, using the latest technologies.
Requirements
Must-have qualifications/skills:
- Minimum 2+ years of experience developing systems in Python or other OOP background with Python knowledge.
- B.A. in computer science or another quantitative field.
- Experience in Client-Server, Distributed computing and Microservices design patterns
- Experience working with large datasets and pipelines
- Experience with Cloud technologies
- Good understanding of Design Patterns, Algorithms & Data structures
- Experience working with Git / GitHub and with CI/CD pipelines
- Ability to communicate effectively with senior stakeholders across the organization
- Able to work independently in a fast-paced environment.
- Detail oriented, organised, demonstrating thoroughness and strong ownership of work.
Nice-to-have qualifications/skills:
- Knowledge of Treasury cash management and margin methodologies
- Experience in the financial industry
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