Quantitative Developer - Python

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.

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.

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 developing and maintaining back-end distributed system.
Good understanding of various Design Patterns, Algorithms & Data structures
Experience working with Git / GitHub
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.

Nice-to-have qualifications/skills:

Experience developing production systems in Java, Go, C# or C++.
Experience with asynchronous programming in python and use of the asyncio library
Experience with reactive and or functional programming
Experience with Continuous Integration and Deployment (CI/CD)
Experience with financial mathematics and statistics.
Experience in the financial industry
Experience with Docker/Kubernetes
Experience with NoSQL like MongoDB