Minimum 5 years of experience in data analytics, risk management, or credit scoring model development within the financial services, banking, or fintech industry.
Proven experience in building and maintaining credit risk models using advanced analytics and machine learning techniques.
Strong ability to process and analyze large-scale data to support strategic decision making.
Experience in regularly monitoring and evaluating model performance, as well as proposing enhancements to ensure model reliability.
Experience working in a multidisciplinary environment and collaborating with cross-functional teams such as Risk, Finance, and IT to generate actionable analytical insights.
Hands-on experience in implementing ETL (Extract, Transform, Load) processes to collect, process, and manage financing risk-related data.
Lead the development and implementation of financing analytics models (credit scoring, risk rating, and behavioral scoring) to support data-driven decision making.
Oversee financing portfolio analysis to monitor asset quality, debtor performance, and risk trends in support of mitigation strategies.
Manage a team of data scientists and analysts in executing analytics projects, including data preparation, modeling, evaluation, and model deployment into production systems.
Coordinate with related divisions such as Risk Management, Financing, and IT in developing policies, model parameters, and analytics data infrastructure.
Drive innovation and the implementation of AI/ML technologies to improve the efficiency, accuracy, and speed of financing analysis processes.
Conduct credit risk measurement on internal models applied to financing products that utilize scoring systems to ensure accurate quality assessments and minimize potential bank losses.
Develop and monitor internal models for financing products that use scoring systems, anticipate potential challenges and risks, and take prompt mitigation actions.
Job details are sourced from the employer's original posting.
