Data Science
Responsibilities
Qualifications & Requirements
Experience Level: Mid Level
Full Job Description
Role and Responsibilities
Develop advanced predictive and credit risk models utilizing cutting-edge machine learning and statistical methodologies across risk, customer, and sales domains. Establish and maintain a comprehensive model evaluation and governance framework. Actively participate in Risk and Model Committees. Oversee the complete lifecycle of scorecard and risk monitoring framework development and implementation across various business units. Manage stakeholder relationships and ensure the successful delivery of analytical projects.
Preferred Candidate Profile
Proven expertise in predictive model development, including proficiency in Logistic/Linear Regression, Clustering, Decision Trees, Feature Selection, PCA, SVM, Random Forest, and Gradient Boosting. Must possess in-depth subject matter expertise in credit risk. Demonstrate strong statistical knowledge and hands-on experience in model development and management. Proficiency in R, Python, or SAS is mandatory. Ability to lead and manage stakeholder engagements is essential, along with excellent presentation and communication skills.
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