We are assembling a strong Quant Technology team to build our next generation of in-house analytics and trader support tools. This team will develop and maintain the in-house models and pricing libraries, providing firm wide live risk and Profit&Loss to support trading in Fixed Income, Commodities, Credit and FX derivatives.
Our Israel office is located in the Bursa area of Ramat Gan and offers a hybrid work model.
English proficiency is a must.
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.
Responsibilities:
- Take part in the development and enhancement of the back-end distributed system, enabling continuous firm wide risk and Profit&Loss calculations
- Work closely with Quants and Quant Developers in London, Geneva and New York to develop pricing and risk analytics for our in-house pricing library
- Participate in the development of in house pre-trade analysis and market analysis tools for Portfolio Managers
Mandatory Requirements:
- 4+ years of experience developing in C++ (Expert understanding of the C++11/ C++14/C++17 standards is a must)
- Experience developing and maintaining back-end distributed system.
- Good understanding of various object oriented design patterns
- Experience working with a source control system (preferably Git or SVN)
- B.A. in computer science or another quantitative field, from a leading university. (M.A. degree is a plus)
- Strong problem solving capabilities & analytical skills
- Very strong English written and verbal skills. It is essential the candidate can clearly and fluently communicate in English
- Solid communication skills
- Able to work independently in a fast-paced environment.
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
- Experience working in a production environment.
Additional valuable skills (nice to have):
- Experience with CI/CD
- Familiarity with Linux platforms
- Experience with Fixed income analytics pricing & risk analytics
- Experience with Python and/or Java
- Experience with Docker/Kubernetes
- Experience with financial mathematics and statistics.
- Experience in the financial industry
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