Manager of Credit Analytics and Model Development - Retail Credit

  • Competitive
  • Wilton, CT, USA
  • Permanent, Full time
  • TD Bank Group
  • 29 Nov 17 2017-11-29

Job Description The Manager of Analytics & Model Development is responsible for analytics related to the design and development of the conceptual, logical and physical data model utilized by the US Retail Credit Risk Analytics team. The Manager of Analytics & Model Development will partner with pertinent departments and contribute to retail credit analysis, documentation, the development and ongoing refinement of CCAR and ALLL models. Additional duties include the facilitation of consistent business analysis, data acquisition, access analysis and design, and database management.

Requirements

• Leads the successful completion of strategic projects and large scale analytics related to CCAR/ALLL/Retail Risk by creating key milestones, tasks, assigning drivers responsible for implementation, and by measuring results against established goals.
• Designs and executes requirements for thoughtful quantitative analysis leveraging a coordinated effort with internal and external technical, operational, product, and Credit Risk groups to help understand and manage the Banks retail credit risk and drivers of change.
• Develops, owns and complies with policies and procedures for the creation, validation and support of new and ongoing models and analysis to ensure the integrity of data, adequate testing and certification, and appropriate risk mitigation controls that meet all regulatory and Bank requirements.
• Parses and manipulates large raw and complex data streams to solve business problems through analysis and modeling; plan for and execute data collection methods, cleansing and normalization, and formulaic design.
• Participates in the development and enhancement of Retail Risk-related models including Probability of Default, Loss Given Default, Exposure at Default, and both short-term and long-term delinquency and loss forecasting.
• Coordinates or contributes to Bank data dictionaries and other database documentation across multiple applications.
• Works with complementary teams to ensure that model design and development is properly communicated to all affected departments; communicates complex, technical concepts to diverse audiences effectively.
• Fosters strong relationships within other risk management teams and line of business counterparts, by identifying and incorporating their needs into processes and by facilitating a continuous performance-based feedback loop
• Evaluates key performance indicators associated with processes, pinpointing financial and quality areas of opportunity and select • Coordinates or contributes to associated bBank data dictionaries and other database documentation across multiple applications.
• Works with appropriate operational and supportcomplementary teams to ensure that model design and development is properly communicated to all affected departments; communicates complex, technical concepts to diverse audiences effectively.
• Fosters strong relationships between within other the Collections and Recovery Department, Credit Rrisk management teams, and line of business counterparts, and customers by identifying and incorporating their needs into processes and by facilitating a continuous performance-based feedback loop
• Evaluates key performance indicators associated with processes, pinpointing financial and quality areas of opportunity and select appropriate courses of action to drive continuous improvement
• Leads the successful completion of strategic projects by creating key milestones, tasks, assigning drivers responsible for implementation, and by measuring results against established goals
• Ensures timely execution of all required operational compliance or audit activities associated with designated processes. Develops and executes remediation plans to close any identified findings.
• Constantly reengineers designated process(s) to optimize performance; utilize champion / challenger testing process; inclusive of industry benchmark data, vendors, and any other pertinent mechanism for determining and enhancing performance
• Participates in and facilitates information sharing with your manager, business partners, peers, and direct reports in a timely and efficient fashion to ensure widespread communication
• Participates in bank Bank conversions as they pertain to areas of responsibility. This may include, but is not limited to, assisting in the development of the project plans; ensuring tasks are completed within established guidelines and assisting in the migration of all functions.

Qualifications

• Bachelor’s degree in a quantitative field such as statistics, economics, mathematics with 5+ years of relevant experience
• Intermediate/Advanced level of SAS, SQL Server and Oracle programming experience
• Intermediate/Advanced level of experience with business intelligence software such as Business Objects, Micro Strategy, etc.
• Strong knowledge in building risk behavior models, operation models, as well as credit risk models (PD, LGD, EAD, etc), or equivalent.
• Strong knowledge of major modelling methods, such as logistic/probit regressions, neural networks, survival analysis, OLS, GLS, etc.
• A demonstrated ability in application of commonly used statistical techniques like linear regression, logistic regression, decision trees, etc.
• Skilled in research, analysis, problem solving, metrics and reporting
• Proficient in Design of Experiment (DOE)
• Advanced technical writing skills
• High attention to detail and ability to ensure high quality work
• Demonstrated ability to understand complex concepts, data, and business processes
• Ability to prepare and present findings and recommendations in a methodical manner to all layers of the organization
• Skilled in time management and driving tasks to completion
• Effective working knowledge of Microsoft Office
Preferred
• Advanced degree in Math, Economics, and/or Statistics with 2+ years of programming experience
• Extensive hands-on predictive modeling experience with developing and maintaining risk scoring, pricing, optimization, and Documentation Deep knowledge of loss and delinquency forecasting methods and model development

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live in and serve, and creating an environment where every employee has the opportunity to reach her/his potential.

If you have a disability that requires an accommodation to complete the application process, please e-mail TD Bank’s HR Compliance Department at hrcompliance@td.com. Please include your full name, contact information and details about your request within the e-mail.

EOE/Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Company Overview

About TD Bank, America’s Most Convenient Bank®

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®, and vehicle financing and dealer commercial services through TD Auto Finance. TD Bank is headquartered in Cherry Hill, N.J. To learn more, visit www.tdbank.com. Find TD Bank on Facebook at www.facebook.com/TDBank and on Twitter at www.twitter.com/TDBank_US.

TD Bank, America’s Most Convenient Bank, is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol “TD”. To learn more, visit www.td.com.