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 asPandas, NumPy, Matplotlib, Plotly .
- Solid understanding of object-oriented programming (OOP) and practical experience withunit 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.
Ready to Apply?
If you're interested in this position, please email your resume and a link to your GitHub account to:
#J-18808-Ljbffr
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