Key Responsibilities:Model Development: Design, build, and deploy advanced propensity models, credit risk models, and other statistical models to address various business challenges within the banking domain.Data Analysis: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies.Analytical Solution: Develop and implement analytical solutions for banking operations, including customer segmentation, fraud detection, and performance optimization.Collaboration: Work closely with business stakeholders, data engineers, and other teams to understand business requirements and deliver effective data-driven solutions.Reporting: Present findings and model performance to both technical and non-technical audiences in a clear and concise manner.Innovation: Stay updated with the latest advancements in data science, machine learning, and the banking industry to propose and implement innovative solutions.
