Radian is looking to solve the business problem of estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This involves leveraging statistical and econometric methods, cloud computing, and machine learning/AI to analyze large datasets and provide insights for risk management and financial transactions within the mortgage insurance industry.
Requirements
- Strong understanding of probability modeling.
- 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.
- 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.
Responsibilities
- Estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment.
- Leveraging cloud computing solutions.
- 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.
- Supporting economic scenario simulation, economic capital, and portfolio optimization.
- Leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights.
- Programming in support of model estimation, implementation, monitoring, and back testing
Other
- Able to work in a team environment.
- Able to effectively summarize and communicate relevant findings and other information.
- Bachelor’s degree or foreign equivalent and 3 years of experience
- Master’s degree or foreign equivalent and 1 years of experience.
- 3 or more years of prior work related experience
