As a Quantitative Risk Intern, you will support the company’s implementation of our Model Risk Management framework. To accomplish this, you will engage in a variety of analytical activities in the following areas: Contribute to the creation of model risk management policy and standards that align with industry best practices, regulatory guidance, and MGIC's unique operational environment. Conduct independent assessments of model performance, identify strengths and weaknesses from both a computational and quantitative perspective while ensuring the maintenance of accurate documentation. Collaborate with key functional areas associated with models, including Model Developers, Model Application Development, Operations and Implementation, and Data Governance. Shape and implement MGIC's model risk appetite, as well as determine the approach to quantifying and aggregating model risk. Conduct research, gather information, and maintain awareness of business environment, government events, regulatory changes, and rating agency disclosures. Provide recommendations for improvements to the model risk management framework. Collaborate on initiatives across teams and departments. Perform ongoing adhoc data projects, analyses as needed to meet business needs. Requirements include a Master’s degree in a quantitative field such as Computational Finance, Economics, Mathematics, Actuarial Science, etc., interdisciplinary knowledge including finance, mathematics, statistics, and programming, programming proficiency in Python, R, SQL, SAS or similar languages, knowledge/experience with Gitlab, logistic models, Monte Carlo state transition framework, stochastic economic models, machine learning model development and post model evaluation, experience with credit risk data, intellectual curiosity, strong communication skills.
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