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Tier-1 bank, mid-level web-data role in Mumbai with common scraping/Python skills increases competition.
Scraping and Python skills transfer broadly, but finance-research context adds moderate domain specificity.
Explicit 4–6 years, mandatory Python/scraping/DB skills and regulated bank environment raise filtering strictness.
Own end-to-end data extraction and web scraping from major websites, subscription services, and public datasets to identify investment trends.
Manage multiple scraping jobs simultaneously and ensure quality control, documentation, and continuous data delivery to support investment research.
Act as liaison for global analyst teams, gathering requirements and proposing new proprietary datasets to drive key research initiatives.
4–6 years of experience in web data extraction, programming, or data analysis tools.
Proficient in Python, web scraping frameworks, regular expressions, HTML, and JavaScript/jQuery.
Bachelor’s degree in any stream or equivalent experience.
Prior exposure to third-party scraping tools (e.g., Kapow) and database systems (e.g., Oracle, SQL) is highly desirable but not mandatory.
Experienced in independently solving complex web scraping and data parsing challenges with strong attention to detail.
Capable of working in a large, matrixed, and global environment with stakeholders across New York and Mumbai.
Has a strong analytical mindset with exposure or passion for financial markets and aligns data efforts with financial research objectives.