Excel in predictive analytics as a Data Scientist specializing in Credit Risk Modeling. Play a key role in risk strategies and model enhancement in a adaptable work setting.This senior-level position involves being an individual contributor focused on developing, validating, and maintaining credit risk models for unsecured personal loans. Your expertise in statistical modeling and programming will be essential in driving innovative risk solutions while collaborating with both data science and business teams.Key Responsibilities:Develop predictive models (PD, LGD, EAD) for lendingPerform feature engineering to boost model performanceValidate and back-test existing risk modelsCollaborate with business teams on lending strategiesMentor junior team members in best practicesRequirements:Bachelor's or Master's degree in relevant fields5–7 years of experience in credit riskStrong background in machine learning techniquesProficient with Python, R, or SAS; SQL requiredDeep knowledge of portfolio management and risk conceptsContribute to the advancement of credit risk analytics while optimizing lending decisions in a startup atmosphere.#J-18808-Ljbffr

📌 Data Scientist - Credit Risk Modeling (Toronto)
🏢 Qfin
📍 Toronto