Backend Developer - Python (3-9 yrs)

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 :

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 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)