Backend Developer - Python

Salary : 60 to 100 LPA

Note : Computer Science graduates only apply for this role or they have exceptional work experience with graduation from IITs preferred.

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.

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 fintech, quantitative models, or data-driven applications.
• Knowledge of data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib)