Seeking a Seasoned Low Latency HFT Engineer

• Connects directly to Interactive Brokers via API. • Monitors authorized signal providers or trading strategies. • Uses artificial intelligence to analyze financial news and market sentiment. • Executes futures trades automatically. • Provides advanced risk management and real-time monitoring. • Supports scaling across multiple trading accounts.
Core System Requirements
Interactive Brokers Integration
• Full integration with IBKR API. • Real-time market data access. • Automated order execution. • Support for futures, equities, ETFs, and options. • Position monitoring and account synchronization. • Trade audit logs.
Signal Replication Engine
• Monitor approved signal feeds. • Detect position openings and closures. • Replicate positions automatically. • Adjustable trade sizing. • Multi-account support. • Real-time synchronization.
AI Market Intelligence Engine
• Financial news aggregation. • NLP sentiment analysis. • Economic calendar monitoring. • Market-impact scoring. • Trend analysis. • Event-driven trading filters.
Automated Execution System
• Market orders. • Limit orders. • Stop orders. • Bracket orders. • Position scaling. • Dynamic order routing.
Risk Management Framework
• Maximum daily loss limits. • Maximum drawdown controls. • Position-size limits. • Exposure limits. • Volatility filters. • Automated trading shutdown protocols. • Trade validation engine.
Analytics and Dashboard
• Real-time account monitoring. • Performance metrics. • P&L tracking. • Trade history. • Risk analytics. • Strategy performance reporting. • Mobile-friendly dashboard.
Preferred Technical Skills
Required: • Python • Interactive Brokers API (IBKR) • Quantitative Finance • Algorithmic Trading Systems • REST APIs • Database Development
Preferred: • Machine Learning • Artificial Intelligence • Natural Language Processing • Financial Market Data Systems • Cloud Infrastructure • Docker • Kubernetes • Linux Server Administration
Deliverables
Phase 1 • System architecture • Technical specifications • Development roadmap
Phase 2 • IBKR integration • Automated execution engine • Risk management framework
Phase 3 • AI news and sentiment analysis engine • Signal replication module • Monitoring infrastructure
Phase 4 • Dashboard development • Testing and optimization • Deployment and documentation
Performance Expectations
• Reliable automated execution. • Stable operation during market hours. • Low-latency order routing through Interactive Brokers. • Comprehensive risk controls. • Scalable architecture. • Secure and maintainable codebase.
Important Notes
The platform must comply with all Interactive Brokers policies, exchange rules, and applicable financial regulations. The system should be designed with a primary focus on reliability, risk management, transparency, and long-term scalability.