What makes you a great fit:

• Bachelor’s Degree in Computer Science or related field
• 4-5years 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 sources 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 such as C, C++, Java, or Python
• Preferred Qualifications
• Master 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
• 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