Research Technology Support for a leading HedgeFund
New York, New York
Our client, a proprietary trading firm, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange.
Role:
Looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems.
Role/Responsibilities:
Troubleshooting/resolution of quantitative trading systems and other live analytics processes
System monitoring, including development of better processes and tools
New feature development in Python/C++
Configuration and change management
Onboarding assistance
Requirements:
2+ years of professional support and/or software engineering experience
Experience with trading systems support (co-located low-latency systems a strong plus)
Fluency with C++, Python and SQL
Familiarity with software delivery lifecycle and production deployment
Cloud experience is a strong plus
Team player and strong communicator
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