Drive credit risk innovation as a Senior Credit Risk Modeling Data Scientist. Develop predictive models and enhance credit decision frameworks in a hybrid workplace.In this crucial role, you will contribute significantly to the development and validation of credit risk models for unsecured lending products. With 5–7 years of credit risk modeling experience, you will utilize statistical modeling and machine learning, partner with business teams for strategy integration, and mentor junior analysts to cultivate a strong analytical culture.Key Responsibilities:Lead development of credit risk predictive modelsConduct data analysis and feature engineeringValidate and monitor credit risk modelsPartner with teams to integrate model outputsProvide insights on portfolio risk trendsRequirements:Bachelor's or Master's in a quantitative field5–7 years in credit risk modelingExpertise in statistical modeling and machine learningProficiency in Python, R, or SAS and SQLSolid understanding of credit risk conceptsUtilize your analytical skills to shape credit risk strategies and decision-making in a dynamic startup culture.#J-18808-Ljbffr

📌 Senior Credit Risk Data Scientist (Toronto)
🏢 Qfin
📍 Toronto