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About
Drive approval strategy, segmentation, and portfolio optimization through decisioning frameworks and analytics Enhance model performance and business impact by evaluating and refining model accuracy using business KPIs Collaborate with cross-functional teams to translate insights into actionable business decisions
Required Qualifications
Bachelor's degree in mathematics, statistics, economics, finance, or a related field; advanced degree preferred 5-10 years of experience in credit risk analytics, preferably in small business lending or high-risk environments 2+ years of leadership experience managing and developing teams Proven track record in building or enhancing modern credit decisioning frameworks Strong proficiency in SQL, Python, and Excel
Languages
- English
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