Quantitative Developer

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches.

EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm's collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets.

Position Summary
We are seeking a highly motivated, skilled, and committed Quantitative Developer to support global equities trading across all asset classes. The role involves developing and maintaining production-level systems for live trading in a fast-paced, high-performance environment.

Key Responsibilities

• Partner closely with the Portfolio Manager to help design and implement production-grade code for live trading systems
• Assist in transitioning research prototypes into robust, real-time trading infrastructure
• Handle real-time market data, including data ingestion, processing, and reconciliation
• Support order management and execution workflows
• Regularly evaluate and enhance the existing technology stack to meet evolving business and operational requirements
• Take full ownership and accountability for assigned tasks and deliverables
• Assist in managing SQL-based databases and contribute to data infrastructure improvements
• Optimize resource usage across systems to ensure efficiency and cost-effectiveness

Required Qualifications

• Strong proficiency in Python, with 5+ years of experience in a production-level environment
• Familiarity with trading systems, execution platforms, market data feeds, and integration of new datasets
• Excellent communication skills and a strong command of English
• Commitment to writing operationally robust, user-friendly code in line with industry best practices

Preferred Qualifications

• Experience on the buyside (e.g., hedge funds, asset managers)
• Knowledge of algorithmic trading and quantitative research methodologies

EA licence 15C7529
EA personnel No. R1985185