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)