Quantitative Developer

About the Role

We are seeking a talented Quantitative Developer to work on top of an existing AI-driven quantitative trading codebase. You will understand current modules, workflows, and data structures, then extend and improve them safely.

What You’ll Do

• Translate configuration outputs and research ideas from AI system modules into executable, production-ready components for quantitative trading strategies.
• Build and optimize high-performance simulation and backtesting engines that capture market microstructure, risk constraints, and execution behavior.
• Analyze simulation and live trading results to refine system logic, adjust parameter configurations, and improve robustness under real-world conditions.
• Design and implement internal dashboards and data visualizations to support real-time monitoring, risk oversight, and strategy decision-making.
• Integrate comprehensive logging, metrics, and monitoring to enhance system stability, observability, and auditability in a regulated trading environment.
• Participate in deployments and continuous optimization in on-premise or private-cloud environments, including low-latency and resource-constrained setups.
• Contribute to code quality through reviews, documentation, and iterative refactoring as the system and business requirements evolve.

What You’ll Bring — Required

• Strong proficiency in Python, with hands-on experience using tools such as Pandas, NumPy, Matplotlib, Plotly.
• Solid understanding of object-oriented programming (OOP) and practical experience with unit testing.
• Ability to understand and navigate complex business workflows and data structures in an existing, non-trivial codebase.
• Comfortable working in and frequently refactoring a large, evolving codebase to improve design, maintainability, and clarity.
• Familiarity with logging and monitoring (e.g., ELK stack or similar), plus basic knowledge of networking and deployment.
• Strong structured thinking skills; able to decompose complex quantitative or trading problems using tools such as mind maps and flowcharts.
• Proficiency in using AI tools to support development and automation workflows.
• Comfortable working in a fast-paced startup environment.
• 1–3 years of relevant work experience, with a Bachelor’s degree or higher in a related field.

What You’ll Bring — Preferred

• Experience with high-performance computing, including efficient vectorized computing with NumPy; CUDA or GPU programming experience is a plus.
• Experience with quantitative trading, strategy development, or data-driven decision systems.
• Experience building web-based dashboards or data visualization tools.
• Experience with Ansible or similar tools for automated deployment.