Backend Developer - Python in Bangalore, भारत

Salary : 60 to 100 LPANote : Computer Science graduates only apply for this role or they have exceptional work experience with graduation from IITs https://jobeax.com/link/mxQSVu7ep23Mr2Gv Overview :We are seeking a Backend Developer with strong Python expertise to join our dynamic team. You will contribute to high-impact projects involving quantitative models, risk frameworks, and trade optimization strategies. This role requires hands-on experience in developing scalable systems, building robust databases, and implementing complex https://jobeax.com/link/XyLCJAtCMybfIEcG Responsibilities : 1. Quantitative Solutions Development : - Design and implement quantitative models for portfolio analysis and alpha generation.- Develop robust risk models to optimize trade execution and performance.2. Back-Testing & Data Management : - Build comprehensive back-testing infrastructure for strategy validation and performance monitoring.- Design and maintain databases with automated updates, anomaly detection, and job monitoring.3. Custom Data Collection & Analytics : - Develop advanced web scrapers for collecting datasets for research and analysis.- Create analytics frameworks and interactive dashboards to visualize portfolio performance and research https://jobeax.com/link/A09Tuft029aKGDoi Skills : Education : Bachelor's Degree in Computer Science or related https://jobeax.com/link/ugGUL9g4wiZVvfBf Proficiency : - 4-6 years of professional software development experience.- Strong programming skills in Python with a focus on object-oriented design and algorithms.- Proficiency in database technologies (SQL, PostgreSQL).- Understanding of system architecture, design patterns, and https://jobeax.com/link/fLsup8gpzg7bpq8z Skills :- Master's Degree in Computer Science or related field.- Experience in software engineering best practices (coding standards, code reviews, testing, source control).- Familiarity with cloud services like AWS, Azure, or GCP.- Exposure to fintech, quantitative models, or data-driven applications.- Knowledge of data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib) (ref:hirist.tech)