Quantitative Risk Management Lead
4 weeks ago
My client, a leading global investment manager, is seeking a highly skilled Quantitative Risk Management Lead to join their Quant Technology team. This team is responsible for developing and maintaining in-house analytics and trading support tools, providing firm-wide live risk and Profit&Loss analysis to support global trading in Fixed Income, Commodities, Credit, and FX products.
Key Responsibilities- Develop and enhance the back-end distributed system, providing continuous and uninterrupted Risk and Profit&Loss information to Portfolio Managers and Risk Officers.
- Manage a small team of Python back-end developers while continuing to work at least 50% hands-on.
- Collaborate with Quant researchers and developers, tech teams, middle office, and trading teams in Tel Aviv and New York / Miami.
- Substantial experience developing in Python (at least 7 years development experience, at least 2 years in Python).
- Previous experience managing a team / leading developers on projects.
- Experience in Client-Server, Distributed computing, and Microservices design patterns.
- Good understanding of various Design Patterns, Algorithms & Data structures.
- Docker/Kubernetes.
- NoSQL like MongoDB.
- Asynchronous programming in Python and use of the asyncio library.
- Reactive and/or functional programming.
- Linux environment.
- Continuous Integration and Deployment (CI/CD).
- Java or C++ (including modern C++ standards).
- Cross Asset Pricing and Risk Systems, financial mathematics, and statistics, or the financial industry.
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