Quantitative Developer

About the Role

Engineers Gate (EG) is a leading quantitative investment company focused on computer-driven trading in global financial markets.  We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. EG’s investment teams each focus on their independent strategies while utilizing the firm’s proprietary, state-of-the-art technology and data platform to optimize their alpha research. 

We are seeking a talented and driven Quantitative Developer to join one of our systematic equity trading teams. The ideal candidate will have at least 2 years of experience supporting systematic trading teams, strong programming skills in Python and SQL, and a deep understanding of trading system architecture, data pipelines, and portfolio tools. The Quantitative Developer will play a key role in scaling the team’s trading strategies through high-performance, production-grade systems. 
 
Joining Engineers Gate offers a unique opportunity to work at the intersection of quantitative research, engineering, and financial markets and to play an essential role on a small investment team. If you enjoy solving complex problems, thrive in a fast-paced and data-driven environment, and are excited about building the future of systematic trading infrastructure, we encourage you to apply. 

Key Responsibilities

• Develop and maintain scalable research infrastructure, backtesting platforms, and live trading systems. 
• Design and implement robust data pipelines, signal engines, and portfolio construction tools. 
• Collaborate closely with researchers and the Portfolio Manager to translate ideas into efficient, production-ready code. 
• Optimize system performance, including latency, throughput, and fault tolerance. 
• Ensure reliability and stability of production systems through rigorous testing, monitoring, and automation. 
• Take a proactive and ownership-driven approach to engineering problems, with a focus on delivering impact to the trading team.

Required Skills, Qualifications and Experience

• A degree in Computer Science, Engineering, Mathematics, or a related technical discipline from a top-tier university. 
• 2+ years of experience developing production systems for systematic trading or investment teams. 
• Proficiency in Python and SQL; familiarity with Linux environments. 
• Experience designing and optimizing data architecture for research and trading workflows. 
• Strong understanding of U.S. equity markets and trading systems. 
• Exposure to portfolio construction, signal integration, and risk modeling is a plus. 
• High level of technical problem-solving ability, creativity, and a collaborative mindset. 
  
• Comfortable working in a dynamic, fast-paced, and team-oriented environment. 

The salary for this role is anticipated to be between $100k and $150k.  This range does not include any potential bonus amounts, other forms of compensation, or benefits offered.  Actual compensation for successful candidates will be carefully determined based on a number of factors, including the candidate’s skills, qualifications, education and experience.