Job Description:
You will be part of our 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.
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.
Job Qualifications:
Substantial experience developing in Python (2+ years of experience).
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
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 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
Company Occupation:
High Tech
Company Size:
Small (0 - 50)