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Tier-1 brand, mid-level generalist analytics title, and metro location drive high competition.
Requires banking operations and regulatory knowledge, limiting transferability across industries.
Explicit 5+ years, required ML/GenAI, reporting, and banking experience increases screening rigidity.
Drive the development and implementation of analytical and automation solutions for Banking Operations & Analytics within COO.
Design, develop, and maintain MIS reports, interactive dashboards, and automated workflows to improve operational efficiency and accuracy.
Lead AI/ML and Generative AI integration projects, including leveraging LLMs and NLP to enhance data-driven decision-making.
5+ years experience in Reporting, Automation, and GenAI with proficiency in SQL, SAS, Python, Tableau, MicroStrategy, and scripting for task automation.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience developing and deploying AI/ML models and GenAI applications, with working knowledge of frameworks like Scikit-learn, TensorFlow, or PyTorch and prompt engineering for LLMs.
Experience in banking operations analytics (expense analytics, cash flow, fraud analytics) and knowledge of data privacy and security regulations.
Strong expertise in data manipulation, reporting, automation, and advanced AI/ML application in a banking or financial services environment.
Experienced in building scalable analytics frameworks incorporating data strategy, process optimization, and visualization for executive-level reporting.
Skilled in stakeholder communication to translate complex data insights into actionable business recommendations.