Python Developer - Quantitative Codeline Tech

3.0 - 7.0 years

0 Lacs

hyderabad, telangana

On-site

We are looking for a Senior Python Developer with 3-4 years of experience and a solid understanding of stock market dynamics, technical indicators, and trading systems. Your main responsibilities will include taking charge of backtesting frameworks, optimizing strategies, and creating high-performance trading modules that are ready for production. The ideal candidate is expected to possess critical thinking skills when it comes to trading logic, demonstrate precision in handling edge cases, and have the ability to write clean, scalable, and testable code. Working in a fast-paced, data-intensive environment where accuracy and speed are crucial should be something you are comfortable with. Your responsibilities will involve designing and maintaining robust backtesting and live trading frameworks, developing modules for strategy building, simulation, and optimization, as well as integrating with real-time and historical market data sources such as APIs and databases. Utilizing libraries like Pandas, NumPy, TA-Lib, Matplotlib, and SciPy for data processing and signal generation will be part of your daily tasks. Additionally, you will be applying statistical methods to validate strategies, optimizing code for low-latency execution and memory efficiency, and collaborating with traders and quants to implement and iterate on ideas. Managing codebases with best practices using Git, including unit testing and modular design, is also expected from you. The qualifications we are looking for include 3-4 years of Python development experience, particularly in data-intensive settings, a strong grasp of algorithms, data structures, and performance optimization, and hands-on experience with technical indicators, trading strategy design, and data visualization. Proficiency in Pandas, NumPy, Matplotlib, SciPy, TA-Lib, as well as strong SQL skills and experience with structured and time-series data are essential. Exposure to REST APIs, data ingestion pipelines, and message queues like Kafka and RabbitMQ would be advantageous. Experience in using version control systems like Git and collaborative development workflows is also required. Preferred experience for this role includes 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, and knowledge of machine learning or reinforcement learning in financial contexts is considered a bonus. This job opportunity is presented by Human Resource from Codeline Tech.,

Posted 1 week ago

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