Radian is looking to solve problems related to data modeling, analysis, and the estimation and validation of credit models by hiring a Data Scientist I.
Requirements
- Understanding of probability modeling.
- Expert mathematical, statistical, and econometric understanding.
- Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment.
- Knowledge of SAS, R, C++ or python for data analysis and modeling.
- Ability to learn financial analysis of structured mortgage products.
- Ability to research and define new analytical methods.
Responsibilities
- Programming in support of model estimation, implementation, monitoring, and back testing
- Development and maintenance of cloud-based modeling frameworks. Analysis of standard reporting and model performance. Delinquency, default, prepayment, claim severity model estimation and design. Model development and methodology research
- 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.
- Perform other duties as assigned or apparent.
Other
- Strong work ethic and independent problem-solving capabilities.
- High level of motivation and intellectual curiosity.
- Able to work in a team environment.
- Ability to communicate effectively and present results.
- Ability to work on-site 3 days per week
- Degree Requirement: Bachelor’s degree or foreign equivalent and 1 year of experience, or Master’s degree or foreign equivalent and no work experience
- Work Experience: 1 or more years of prior work-related experience without a master’s degree, with a master’s degree no prior work experience is required.
