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Strong Tier-1 brand, metro location, and mid-level generalist experience make competition high.
Technical web-scraping skills transfer across industries, though finance domain knowledge is beneficial.
Explicit 4–7 years plus mandatory Python, scraping, regex, and database skills increase screening strictness.
Independently perform complex web data extraction and web scraping from public websites and subscription services to support investment research.
Manage multiple simultaneous data extraction initiatives, delivering aggregated data and proposing new proprietary datasets impacting research objectives.
Serve as a liaison with global Data Analysts and Senior Analysts, documenting datasets, performing quality validations, and ensuring timely, compliant data delivery.
4–7 years of relevant experience in web data extraction, programming, or data analysis tools.
Proficiency in Python, web scraping frameworks, regular expressions, HTML, and JavaScript/jQuery.
Recognized Bachelor’s degree in any stream or equivalent experience.
Experience or familiarity with third-party scraping tools (e.g., Kapow, Mozenda) and database systems (Oracle or SQL) is highly desirable but not mandatory.
Experienced working in a large, global, matrixed organization supporting financial research functions.
Demonstrates strong problem-solving skills related to complex web scraping and data parsing issues independently.
Skilled in managing multiple priorities with attention to data quality, documentation, and compliance aligned to investment research impact.