Key Responsibilities
● Quantitative Model Development: Design and implement quantitative models for
generating alpha in equity portfolios, focusing on long-term superior returns.
● Risk Modeling and Optimization: Build robust risk models and optimal trade execution
frameworks to minimize slippage and enhance trade performance.
● Back-Testing and Monitoring: Develop comprehensive back-testing infrastructure for
strategy validation, performance tracking, and signal performance analysis.
● Data Management: Create and maintain databases with automated updates for diverse
datasets from multiple vendors. Implement monitoring jobs and anomaly detection
mechanisms.
● Web Scraping for Custom Data: Develop advanced web scrapers to collect custom
datasets for in-depth research analysis.
● Data Analytics and Visualization: Build analytics frameworks and interactive
dashboards to enhance fundamental research, provide insights, and visualize portfolio
performance across the fund.
Must-Have Skills:
● Technical Proficiency:
○ 4-5 years of non-internship professional software development experience
○ Advanced programming experience with Python
○ Solid understanding of object-oriented design, data structures, algorithm design,
and complexity analysis.
○ Experience with database technologies like SQL, PostgreSQL.
