Radian is looking to solve the problem of estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment
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
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
Other
- Able to work in a team environment
- Able to effectively summarize and communicate relevant findings and other information
- Degree Requirement: Bachelor’s degree or foreign equivalent and 3 years of experience
- Degree Preferred: Master’s degree or foreign equivalent and 1 years of experience
- Work Experience: 3 or more years of prior work related experience
