Python Developer
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, 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.
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 microservices on top of our new analytics library and integrate it into the existing system, using the latest technologies.
Requirements
* Substantial experience developing in Python.
* Experience in Client-Server, Distributed computing, and Microservices design patterns.
* Experience developing and maintaining back-end distributed systems.
* Good understanding of various Design Patterns, Algorithms & Data structures.
* Experience working with Git / GitHub.
* B.A. in computer science or another quantitative field.
* 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 with Docker/Kubernetes.
* Experience with NoSQL like MongoDB.
* Experience with asynchronous programming in Python and use of the asyncio library.
* Experience with reactive and/or functional programming.
* Experience working in a Linux environment.
* Experience with Continuous Integration and Deployment (CI/CD).
* Experience developing in Java or C++ with good understanding of the Modern C++ standards.
* Experience developing Cross Asset Pricing and Risk Systems.
* Experience with financial mathematics and statistics.
* Experience in the financial industry.
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