Data Scientist Focused on Credit Risk Modeling and Analysis

Drive credit risk modeling efforts as a dedicated Data Scientist. Collaborate with cross-functional teams to develop and validate models that enhance decision-making and risk management. In this role, you will leverage your expertise to design, develop, and maintain credit risk models, including Probability of Default and Loss Given Default. With over four years of experience in data science or analytics, you will provide actionable insights and support data-driven strategies. This position plays a critical role in mitigating risk across operations and requires a strong foundation in statistical analysis and predictive modeling. Key Responsibilities:

• Design and develop credit risk models
• Analyze complex data for strategic insights
• Apply advanced analytics techniques to identify risk
• Collaborate with stakeholders to implement solutions
• Communicate analytical findings to non-technical teams Requirements:
• Bachelor’s degree in a related field
• 4+ years in data science or risk modeling
• Expertise in credit risk measurement frameworks
• Proficiency in SQL, Python or similar tools
• Strong analytical and communication skills Join our mission to enhance credit risk management through insightful analytics and modeling expertise.