Production Support Engineer - Trading Systems

• Your core objective will be to provide high-touch user support to the Q-Tx team who trade across major US markets.
• Provide prompt user support for investigations & resolution of any system issues impacting front office trading flows.
• Liaise with internal and external teams on a day-to-day basis to provide effective management of the QRT trading infrastructure, resolving issues through to completion.
• Support trading platforms on different OS environments - Windows & Linux (Manual trading application, Algorithmic trading platforms, Exchange/FIX connectivity system, and Risk systems).
• Ensure all trading components are up and running before the start of each trading day and support the release management process ensuring stability of the production environment.
• Provide maintenance and support of static databases and supporting processes.
• Develop tools to continuously improve our ability to monitor the trading environment.
• Evening/weekend support requirements (normally through remote access).

• 2yrs of Bash, Command Dos, Powershell or Python scripting experience is essential.

• Minimum 3yrs in a support role.
• Excellent problem solving and highly effective business analytics capabilities required.
• Must have a keen focus on ownership of issues and commitment to resolving them.
• Excellent written and oral communication skills are essential.
• Expert windows desktop and server administration experience is essential.
• High level of Linux OS experience is essential.
• Expert relational database skills (in order of preference: SQL Server, Postgres) are essential.
• Experience of managing the expectations of Front Office traders and senior management is desirable.
• Knowledge of Equities, Futures, Commodities and FX asset classes is an advantage.
• Knowledge of market data feed handlers and execution feeds is an advantage.
• Knowledge of market-making/liquidity provision and algorithmic trading is an advantage.

Q-Tx is affiliated with Qube Research & Technologies, a global quantitative and systematic investment manager.