Backend Developer - Python (4-6 yrs)

Backend Developer (Python Specialist).

Location : On-site (Bangalore).

Experience Required : 4-6 years.

Job Description :

Are you a Python expert looking to work on cutting-edge fintech and AI-driven solutions? Do you thrive in solving complex problems, optimizing performance, and building scalable backend systems? If so, we have the perfect role for you!.

As a Backend Developer (Python Specialist), you will play a crucial role in developing quantitative models, risk optimization strategies, and high-performance trading solutions.

You'll work on data analytics, back-testing, and advanced web scraping, contributing to next-gen AI-driven fintech innovations.

Key Responsibilities :

- Build and optimize models for generating alpha in equity portfolios and enhancing trade performance.

- Develop frameworks to minimize slippage and improve execution efficiency.

- Design robust back-testing infrastructure to validate strategies.

- Build and maintain automated, scalable databases with anomaly detection mechanisms.

- Create scrapers for collecting custom datasets for research and analysis.

- Develop analytics dashboards for portfolio insights and strategy evaluation.

Education : Bachelor's Degree in Computer Science or related field.

Technical Expertise :

- 4-5 years of professional software development experience (non-internship).

- Advanced proficiency in Python and OOP principles.

- Strong understanding of data structures, algorithms, and system design.

- Experience with SQL/PostgreSQL databases.

- Hands-on experience in AI/ML-related projects.

- Prior experience working in startups.

Preferred Qualifications :

- Master's Degree in Computer Science or related field.

- Strong understanding of software engineering best practices (code reviews, testing, version control).

- Experience with distributed systems, UI design, and web services.

- Ability to collaborate effectively with cross-functional teams.

Good-to-Have Skills :

- Experience in fintech and quantitative modeling.

- Proficiency in data visualization tools (Tableau, Power BI) and Python libraries (Pandas, NumPy, Matplotlib).

- Familiarity with cloud services (AWS, Azure, GCP).

This is a unique opportunity to work on high-impact fintech and AI-driven projects, shaping the future of quantitative trading and financial analytics.