TITLE. Risk Analytics & Modeling Manager. LOCATION. Raleigh, North Carolina. YOUR ROLE . This is an exciting opportunity for a quantitative professional to apply analytics and modeling skills in mortgage insurance business. Reporting to Director of Risk Analytics & Modeling, this role will be responsible for building models that support pricing, financial planning & analysis, capital management functions on new and in-force business. YOUR RESPONSIBILITIES. Build and improve forecasting accuracy of mortgage models - prepayment, default, and severity. Apply stochastic and formulaic techniques to produce distribution of mortgage models. Conduct thorough testing, validation, and comparison of models based on internal modeling standards. Apply machine learning techniques in modeling, model validation, and model error analysis. Write a technical documentation on models using established standards. Research state-of-the-art modeling and analysis techniques. Collaborate with various stakeholders including teams in IT, Risk, Pricing, Finance, Commercial, and Loss Mitigation to implement and promote understanding & acceptance of models YOUR QUALIFICATIONS. 4+ years of relevant work experience in building models based on loan level data using statistical techniques. Master's Degree in a quantitative discipline such as Statistics, Machine Learning, Actuarial Sciences, Mathematics, Quantitative Finance, or Economics. Experience in transition rate modeling at loan level using competing risk framework. Thorough understanding of and demonstrated experience with statistical methodologies including least squares, logistic regression, and time-series forecasting. Proficiency in programming with SAS. Worked with large, complex data sets including cross-sectional and time-series data. Analyzing large volumes of data, draw conclusions, and present findings. Analytical, data-based approach to exploration, modeling of data, and testing of hypothesis. Strong interest in learning the business details of mortgage insurance, other forms of credit enhancements, and various aspects of mortgages & housing industry. Ability to build and implement a project plan of model development life cycle including testing, validation, documentation, and monitoring the model performance. Able to work independently with minimal supervision on technical aspects requiring statistical & programming skills. Effective communication, presentation, and collaboration skills. Results oriented, accountable for performance, and takes complete ownership of projects. Possess a high energy level, creativity, and resourcefulness. ADDITIONAL QUALIFICATIONS. Experience in mortgage modeling. Either a Ph.D. in Statistics or a comparable quantitative field. Or comparable quality of experience in mortgage modeling. Or a degree in machine learning. Work experience related to Mortgage Backed Securities, Credit enhancement, or Structured transactions. Usage of Regulatory Capital models and Economic Capital. Experience with Underwriting, Appraisal, and Credit bureau data. Analyze and model all types of data including text and images. Exposure to open source software (such as R). COMPANY. Genworth Financial, Inc. is a leading insurance holding company committed to helping families achieve the dream of home ownership and address the financial challenges of aging through its leadership positions in mortgage insurance and long term care insurance. Headquartered in Richmond, Virginia, Genworth traces its roots back to 1871. Genworth Mortgage Insurance, headquartered in Raleigh, North Carolina, is a global mortgage insurer with a major presence in the United States, Canada, and Australia. With origins dating back to 1980, Genworth Mortgage Insurance provides primary mortgage guaranty insurance coverage on residential mortgage loans, as well as mortgage pool insurance policies that enhance insurance coverage for various types of mortgage-related securities. Our mortgage insurance can help individuals secure low down payment loans and realize the dream of home ownership faster even for the first time. We know we can t deliver on our mission unless we deliver for our employees. That s why we re committed to creating a work environment that fosters inclusion, excellence, improvement and connection. We know each employee contributes in their own unique way and we re dedicated to supporting every one of them to help them reach their full potential.
25 Sep, 2018