Backend Developer - Python Programming

Job Description

Duration : 6 Months Location : Bangalore Timings : General IST Notice Period : within 15 days or immediate joiner Experience : 4 - 6 Years About the Role : Role 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 algorithms. Location Requirement : This role is based in Bengaluru. Candidates must be open to face-to-face interviews and working on-site. Key Responsibilities : Quantitative Solutions Development : - Design and implement quantitative models for portfolio analysis and alpha generation. - Develop robust risk models to optimize trade execution and performance. 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 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 insights. Required Skills : Education : - Bachelor's Degree in Computer Science or related field. Technical 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 scalability. Preferred 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 fin-tech, quantitative models, or data-driven applications. - Knowledge of data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib).