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Tier-1 brand, metro location, and broad BI/ML/GenAI skillset increase candidate competition.
Strong banking operations and regulatory context increases industry specificity, though BI/ML skills remain transferable.
Explicit 8+ years and mandatory BI, scripting, and ML/GenAI skills increase filtering strictness.
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Drive development and implementation of analytical and automated reporting solutions to enhance efficiency, accuracy, and insights for Banking Operations & Analytics within COO.
Lead applied AI, ML, and GenAI integration including development of LLM and NLP-powered solutions to improve decision-making and automate analytics processes.
Manage data collection, cleaning, analysis, reporting (MIS, dashboards), and process improvements to support operational metrics and business objectives.
8+ years of experience in Reporting, Automation, and GenAI-related analytics with proficiency in SQL, SAS, Python, Tableau, MicroStrategy, etc.
Proven experience developing reports, performing data analysis, and implementing automated solutions including scripting and API integrations.
Practical experience developing and deploying AI/ML models and GenAI applications using frameworks like Scikit-learn, TensorFlow, PyTorch, and knowledge of prompt engineering for LLMs.
Bachelor's degree in STEM required; Master's preferred. Experience in banking operations analytics and regulatory knowledge in data privacy/security is required.
Strategic thinker with demonstrable leadership in AI/GenAI application to banking operations and analytics, focusing on business value and innovation.
Strong technical operating style with hands-on skills in data querying, automation scripting, and development of dynamic dashboards and reports.
Experienced in large, complex data environments with an ability to establish scalable analytics frameworks and drive process optimization in regulated financial contexts.