ONLY APPLY IF Available to join in Bangalore - Work from Office Startup and product based companies experience is a must You are available to join within 15-20 days B.tech from Tier I/II institute is a must Basic Qualifications Bachelor’s Degree in Computer Science, Engineering, or a related technical field from a Tier-I/II institution.

4-5 years of professional, non-internship experience in software development, specifically within product startup environments.

Advanced programming proficiency in Python, with experience in building and deploying robust applications.

Strong knowledge of software architecture and design principles, including architecture patterns, design patterns, system reliability, scalability, and maintainability.

Deep understanding of core Computer Science principles, including object-oriented design, data structures, algorithm design, and computational complexity.

Proficiency in at least one modern programming language such as Python, C, C++, or Java, with a focus on performance optimization and efficiency.

Preferred Qualifications B.tech Degree in Computer Science or a related technical field from a Tier I institution.

Extensive knowledge of professional software engineering practices, covering the entire software development lifecycle (SDLC), including coding standards, code reviews, source control management, CI/CD build processes, testing, and operational deployment.

Strong experience in UI/UX design and development, with an emphasis on distributed systems and web services.

Proven experience in collaborating effectively with cross-functional teams, including users, technical teams, and management, to gather requirements, define software features, and communicate technical designs.

About the Role The team is responsible for developing advanced quantitative models to generate alpha in equity portfolios, aiming to achieve superior returns over the mid to long term.

You will develop and implement risk models, as well as trade execution optimization models, to enhance overall portfolio performance.

Design and maintain a robust back-testing infrastructure to support strategy validation, performance tracking, signal monitoring, and slippage analysis.

Manage and maintain databases with multiple data sources from various vendors, including automated updates, monitoring, and anomaly detection.

Build and maintain web scrapers to collect custom datasets for research purposes, contributing to the team’s data acquisition strategy.

Develop an analytics framework and data visualization toolkit to support fundamental research and streamline the extraction of actionable insights.

Create interactive dashboards to monitor and improve portfolio performance, providing real-time insights for informed decision-making across the fund.