About the role The team has a broad mandate to develop quantitative models for generating alpha in equity portfolios which can generate superior returns in mid to long term In addition to these, the team is expected to develop risk models and optimal trade execution models Develop robust back-testing infrastructure for the strategies, performance tracking and monitoring mechanisms for the signal performances and assessing slippages in the model Developing and maintaining database of multiple datasets from various vendors. Creating their automated updation and monitoring jobs and checks for flagging anomalies. Developing Website scrapers to procure custom datasets for research purpose. Analytics framework for aiding the fundamental research and creating data visualization toolkit for enhancing the ease of extracting insights and locating value Creating interactive dashboards for assessing and enhancing the performance of portfolios across the fund Basic Qualifications Bachelor's Degree in Computer Science or related field 2-5 years of non-internship professional experience in software development experience Intermediate to advanced programming experience with python is a must Knowledge of the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Sought out knowledge source in: Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis Advanced proficiency in, at least, one modern programming language in Python Preferred Qualifications Masters in degree in Computer Science or related field Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Strong UI design skills, distributed systems and web services design and implementation experience Deep experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs