Maintain and support MetaTrader 4 and MetaTrader 5 trading environments, including configuration of groups, symbols, trading permissions, and execution parameters.
Manage trading infrastructure components including Access Servers, gateways, and trading server configurations.
Support liquidity integrations and execution infrastructure through bridge technologies such as PrimeXM XCore, OneZero Hub, Centroid, or similar solutions.
Assist with configuration and monitoring of A-book and B-book routing logic, liquidity pools, symbol mapping, and execution settings.
Monitor trading systems and investigate execution issues including order rejections, latency issues, pricing discrepancies, and connectivity disruptions.
Coordinate with liquidity providers, bridge vendors, and internal teams to diagnose and resolve technical issues affecting trade execution.
Implement trading configuration changes including symbol specifications, spreads, trading sessions, rollovers, and contract updates.
Support onboarding of new clients, liquidity providers, trading products, and trading configurations within the trading infrastructure.
Assist with trading data analysis, reporting support, and operational investigations related to trading activity.
Contribute to documentation, operational procedures, and governance standards for trading infrastructure.
Identify opportunities for automation and operational improvement, including scripting, workflow automation, or system monitoring enhancements.
Participate in incident response and operational troubleshooting when trading system issues occur.
Requirements
Bachelor’s degree in computer science, Engineering, Information Technology, Finance, or a related field.
3–6 years of experience in trading platform operations, electronic trading infrastructure, or brokerage trading environments.
Experience working with MetaTrader 4 and MetaTrader 5 trading platforms.
Familiarity with bridge technologies such as PrimeXM, OneZero, Centroid, or equivalent execution infrastructure.
Understanding of trade lifecycles, execution models, margin, liquidity routing, and trading configuration concepts.
Basic knowledge of SQL, data analysis tools, or scripting languages such as Python or PowerShell is advantageous.
Experience operating within financial services, brokerage, or regulated trading environments is preferred.
Strong analytical, troubleshooting, and problem-solving skills.