Hands-On Team Lead (Python)- World-Leading Hedge Fund
Oxford Knight
Application
Details
Posted: 19-Jun-24
Location: London, United Kingdom
Type: Full-time
Salary: Open
Internal Number: 20719089
My client - one of the industry's leading global investment managers - is assembling a strong Quant Technology team to build their 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. Offering a fast-paced environment with excellent international growth opportunities, you'll gain 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.
Manage a small team of Python back-end developers while continuing to work at least 50% hands-on.
Work closely with Quant researchers and developers, tech teams, middle office and trading teams in Tel Aviv and New York / Miami.
Build micro services on top of the new analytics library and integrate it into the existing system, using the latest technologies.
Mandatory Requirements
Substantial experience developing in Python (at least 7 years development experience, at least 2 years in Python).
Proven ability with technical leadership making critical design decisions
Previous experience managing a team / leading developers on projects
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