Python Developer - Quantitative

As a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems, your role will involve taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules ready for production. You are expected to possess critical thinking skills for trading logic, handle edge cases precisely, and write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be comfortable for you. - Design and maintain robust backtesting and live trading frameworks - Develop modules for strategy building, simulation, and optimization - Integrate with real-time and historical market data sources using APIs and databases - Utilize libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation - Apply statistical methods to validate strategies - Optimize code for low-latency execution and memory efficiency - Collaborate with traders and quants to implement and iterate on ideas - Manage codebases with best practices using Git, including unit testing and modular design Qualifications: - 3-4 years of Python development experience in data-intensive settings - Strong grasp of algorithms, data structures, and performance optimization - Hands-on experience with technical indicators, trading strategy design, and data visualization - Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib - Strong SQL skills and experience with structured and time-series data - Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ - Experience in using version control systems like Git and collaborative development workflows Preferred experience: - Hands-on experience with trading platforms or algorithmic trading systems - Familiarity with order management systems (OMS), execution logic, or market microstructure - Prior work with cloud infrastructure (AWS, GCP) or Docker/Kubernetes - Knowledge of machine learning or reinforcement learning in financial contexts,