Position Title: Senior/Junior Risk Modeling Analyst - Credit

Duties & Responsibilities: As a Senior Risk Modeling Analyst you will apply advanced financial, economic or statistical methods to develop powerful analytical models. These tools will be used to measure, monitor, evaluate and forecast credit and operational risk and performance. This includes evaluating the impact of underwriting and credit guidelines, operational factors and market dynamics at multiple risk levels including loan, lender, delivery channel and guarantor levels. You will assist the business in assessing risk exposure in the existing portfolio as well as evaluating the impact of product changes on the risk profile of new business. You will be expected to develop and deliver recommendations for changes to the risk profile based upon the analytical reviews performed. These complex tasks will be performed with minimal supervision. Responsibilities: • Using advanced programming, quantitative modeling and analytical skills, develop, maintain and enhance models that estimate the inherent credit and operational risk in the existing portfolio • Prepare modeling to evaluate the risk impact of credit policy changes and loan underwriting quality on product development and pricing efforts • Develop modeling to incorporate macroeconomic factors into all risk forecasting models • Introduce stochastic capability to all best estimate models to help inform risk / reward decisions • Assist in the development of the database, monitoring and reporting infrastructure necessary to support consistent delivery of highly accurate and efficient reporting. • Perform detailed analysis of credit performance and loan quality results, prepare and present results to functional and business leadership across the organization. • Work with business and functional experts across the organization to identify important lender and guarantor level performance Scorecard metrics and present internally and externally. • Appropriately model the unique performance characteristics associated with various products, origination channels and sources and serviced business including tracking and reporting repurchase, fraud and claims activity • Develop / coordinate development of portfolio runoff projections that will be used to support reserving, servicing expense estimation and asset valuation • Prepare portfolio performance reporting and compare to external benchmarks to identify opportunities to remediate risk or enter new markets • Validate models used across Credit and Operational Risk and facilitate best practices • Contribute to the reconfiguration and development of existing software and databases to accommodate business needs • Participate in developing an enterprise wide risk reporting platform including implementation of software and hardware upgrades and implementation of new applications across the risk area

Position Qualifications: Minimum Qualifications: • Bachelors Degree in Quantitative Field such as Finance, Business, Economics, Engineering, Mathematics or Statistics • 5+ years of advanced modeling experience preferably finance oriented • 5+ years of programming experience (SAS, C/C++, Python, R, MATLAB) • Experience with large datasets (SAS, Oracle, SQL experience) • Advanced knowledge of data analysis tools including skills to develop analysis queries and procedures in various software applications for data segmentation, aggregation, and statistics • Excellent critical thinking, analytical and problem-solving skills • Excellent communication skills. Ability to explain complicated methodologies in layman terms. • Solid interpersonal skills, with the ability to quickly develop working relationships • Ability to work independently. Willingness and capability to lead cross function efforts. • Proven analytical skills, including ability to draw conclusions and make recommendations to solve business problems Preferred Qualifications • Advanced degree in a quantitative field (Finance, Statistics, Economics, Computer Science) • Knowledge of financial service industry, with a focus on the mortgage market • SAS or Oracle BI Certified User/Programmer • Advanced knowledge of Microsoft Office products, particularly Excel, Access (and VBA) and PowerPoint • Risk management background • Experience developing stochastic modeling capability • Experience / Background in some or all of the following areas: o Risk management o Consumer credit particularly in the mortgage space o Pricing o Portfolio management skills o Statistical analysis

Salary Range: competitive compensation package

Benefits:

Web Site: http://www.phhjobs.com/mortgage.htm

Application Address: https://re13.ultipro.com/PHH1000/JobBoard/JobDetails.aspx?__ID=*6F896C143A01782D

Contact Email: Calvin.Yu@mortgagefamily.com

Application Deadline: 10/30/2013