Risk Statistical Modeler
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About The Position
The position involves supporting the Data analytics and Decision Science needs of KMRF. The candidate will develop and implement statistical models to support loan origination and risk assessment, assist the Group Manager in developing and refining Credit and Lending strategies, and analyze large datasets to identify trends, patterns, and insights. The role requires utilizing statistical techniques and machine learning algorithms to build predictive models, recommending automation strategies that balance risk and efficiency, and validating and testing models to ensure accuracy, reliability, and compliance with regulatory requirements. The candidate will preprocess, augment, and clean large datasets for building predictive models, collaborate with underwriting and risk management teams to integrate models into loan origination, and monitor model performance to make necessary adjustments. Additionally, the candidate will develop and maintain Loss forecasting models, stay updated on industry trends, and ensure compliance with company policies and regulatory requirements. The role also involves working closely with cross-functional teams, including software engineers, product managers, and domain experts, and performing all other job duties as assigned.
