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Tier-1 brand, metro location, and mid-level generalist analytics role increase applicant density.
Requires finance/legal analytics and governance experience, so transferability across industries is moderately constrained.
Explicit 5+ years and mandatory SQL/Python/BI/ML/GenAI skills imply high filter strictness.
Lead development and implementation of analytical and automation solutions to improve efficiency, accuracy, and insights in Legal Analytics within the COO office.
Design, develop, and maintain MIS reports, automated workflows, and interactive dashboards using tools like Python, SQL, Tableau, and Power BI.
Drive integration of AI, ML, and Generative AI technologies including LLMs and NLP to enhance decision-making and automate complex processes.
5+ years in Reporting, Automation, and GenAI with proficiency in SQL, SAS, Python, Tableau, MicroStrategy, and scripting for automation.
Experience developing and deploying AI/ML models and Generative AI applications in business or financial contexts.
Bachelor’s degree in STEM required; Master’s preferred.
Knowledge of banking operations and regulatory requirements related to data privacy and security.
Proven track record in creating scalable analytics frameworks combining data strategy, process optimization, and advanced visualization techniques.
Hands-on expertise with AI/ML frameworks (Scikit-learn, TensorFlow, PyTorch) and prompt engineering for LLMs.
Experience working within financial or banking environments focused on operations analytics and automation.