We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trading support tools. This team will develop and maintain the in-house models and pricing libraries, providing firm-wide live risk and Profit&Loss analysis to support global trading in Fixed Income, Commodities, Credit, commodities and FX products.
This is a unique opportunity to join one of the leading hedge funds in the world and enter the fast-growing world of FinTech, learning from the best in the field how it is done at the highest levels. We offer a fast-paced environment with excellent international growth opportunities and exposure to world-class financial technologies and global markets.
Our Israel office is located in the Bursa area of Ramat Gan and offers a hybrid work model.
As a global firm, English proficiency is a must.
Responsibilities
- Take part in the development and enhancement of the back-end distributed system, providing continuous and uninterrupted Risk and Profit&Loss information to Portfolio Managers and Risk Officers.
- Work closely with Quant researchers and developers, tech teams, middle office and trading teams in London and New York / Miami.
- Build micro services on top of our new analytics library and integrate it into the existing system, using the latest technologies.
Requirements
- B.Sc. in Computer Science from a leading academic institution (M.A. degree is a plus).
- Minimum GPA of 85 (please add your grade sheet when applying with your CV) - Good understanding of various Design Patterns, Algorithms & Data structures.
- Ability to communicate effectively with senior stakeholders across the organization.
- Able to work independently in a fast-paced environment.
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work.
Additional valuable skills (nice to have, but not essential)
- Experience in Client-Server, Distributed computing and Microservices design patterns.
- Experience developing and maintaining back-end distributed system.
- Experience with Docker/Kubernetes.
- Experience using Python/Go programming language.
- Experience developing Cross Asset Pricing and Risk Systems.
- Experience in the financial industry.
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