Risk Manager II 8/10/2016
JOB DESCRIPTIONAPPLY TD Bank, America's Most Convenient Bank, is one of the 10 largest banks in the U.S., providing more than 8 million customers with a full range of retail, small business and commercial banking products and services at approximately 1,300 convenient locations throughout the Northeast, Mid-Atlantic, Metro D.C., the Carolinas and Florida. In addition, TD Bank and its subsidiaries offer customized private banking and wealth management services through TD Wealth(R), and vehicle financing and dealer commercial services through TD Auto Finance. TD Bank is headquartered in Cherry Hill, N.J.
The US Credit Risk Model Group (CRMG), as part of Risk Management, has primary oversight for the design, build, implementation, and performance of the models used to assist in the credit approval decisions within the Wholesale segment (non-retail exposures) at TD Bank, N.A. The accurate calculation of a Borrower's Probability of Default (PD) and Loss Given Default (LGD) is fundamental to the mitigation of risk associated with credit events, and to the optimal assignment / monitoring of exposure limits and enterprise capital allocation.
The position is within the US Credit Risk Model Group (CRMG). As part of Risk Management, CRMG has primary oversight for the design, build, implementation, and performance of the credit risk models used to assist in the credit approval decisions within the Wholesale segment (non-retail exposures) at TD Bank, N.A.
The accuracy of the models is fundamental to the mitigation of risk associated with credit events, and to the optimal assignment / monitoring of exposure limits and enterprise capital allocation.
This position will support the ongoing administration of Basel compliant Wholesale Internal Risk Rating ("IRR") systems and risk parameter calibration. Specifically, this position will support the development of the entire credit risk model lifecycle process.
*Assists with developing an end-to-end credit risk model lifecycle process, including creating an easy-to-use model development environment that enables a repeatable and automated model development process.
*Develop standards and establish procedures for the non-retail risk rating or parameter model development.
*Ensure standards are compliant with the regulatory guidance and requirements, such as Supervisory Guidance on Model Risk Management (SR 11-7), and in-line with industry best practices.
*Develop quantitative techniques to identify/recommend improvements to risk rating or parameter models. Identify the need to implement new models/analytical techniques as business evolves.
*Lead the effort to implement a new model / system by managing a working group, and share expertise in modeling methodologies specific to different business lines
*Ensure transparency and auditability throughout the model development process, and prepare the documentation in line with the industry best standards and meet regulatory requirements.
*Performs detailed analysis and interprets information intuitively to Senior Management on critical model characteristics/performance.
*Post graduatedegreerequired, Ph.D. preferred; deep subject matter expertise in the financial services sector.
*Expertise in mathematics, statistics, numerical methods, and data visualization combined with extensive experience in the application of such within the financial services sector
*5-10 Years of related experience
*Minimum 5 years working experience with SAS in general and familiar with Base SAS, Macros, PROC SQL, IML, and SAS Enterprise Guide
*Strong analytical and problem solving skills are required to interpret data and draw conclusions.
*Excellent written and verbal communication skills.