Data Scientist II - Hybrid

Requirements

• Strong understanding of probability modeling.
• Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment.
• Knowledge in SAS, R, C++ or python for data analysis and modeling.
• Experience leveraging AWS based applications and resources (EC2, EMR, S3, Lambda, Jupyter Notebook, Zeppelin, Spark) is desirable.
• Expert mathematical, statistical, and econometric knowledge.
• Strong understanding of financial analysis of structured mortgage products.
• Experience leveraging cloud computing.
• Able to work in a team environment.
• Able to effectively summarize and co

Benefits

Additional Information

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. The Data Scientist II, MIRS primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the Credit Modeler II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Yourself as a Data Scientist II The Data Scientist II primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the DS II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Your Primary Duties and Responsibilities Delinquency, default, prepayment, claim severity model estimation and design. Programming in support of model estimation, implementation, monitoring, and back testing Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Model development and methodology research Perform other duties as assigned or apparent. See the Job Specifications

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