• Competitive
  • Wilmington, DE, USA
  • Permanent, Full time
  • Citi-US
  • 2018-10-20

Modeling, Analysis, and Validation Sr. Analyst

Modeling, Analysis, and Validation Sr. Analyst

  • Primary Location: United States,Delaware,Wilmington
  • Education: Bachelor's Degree
  • Job Function: Risk Management
  • Schedule: Full-time
  • Shift: Day Job
  • Employee Status: Regular
  • Travel Time: Yes, 10 % of the Time
  • Job ID: 18057491


Branded Cards North America (N.A.) is one of the premier market leaders in the credit card industry. With a pre-eminent global brand and distribution, Branded Cards N.A. maintains its leadership position by delivering industry-leading products, advanced services and payment systems that address clients' evolving needs.

Key Responsibilities:

Integral to Citi Cards' success is the comprehensive model development management process. As the VP Model Validation, the individual will execute data driven analytics to ensure the robustness and regulatory compliance of all scoring and non-scoring models for our consumer credit card business.
Assignments/responsibilities are outlined but not limited to:
• Conduct hands on analytics to support the model validation, deployment, and governance and control efforts across customer lifecycle (Acquisitions, Customer Management, Collections).
• Interact with all levels of management to facilitate understanding of Model performance and usage, provide recommendations if any concerns and perform additional analysis if required.
• Validate end-to-end analytic approaches/processes used to enhance the integration of business strategies, economic trends and portfolio dynamics and be able to provide recommendations to the business
• Ensure the compliance of development and validation of models with respect to Global Risk and external regulatory guidelines
• Partner with Risk and Decision Management organizations to understand the source of new data and continue to improve the process of defining, extracting and utilizing the new data
• Interact with all levels of management to facilitate understanding of performance of risk models and inform on critical decisions


  • Bachelors or advanced degree in Statistics, Mathematics, or other quantitative discipline strongly preferred
  • 2+ years of experience in an analytical capacity is required.
  • Experience with econometric modeling and statistical modeling or application risk scoring.
  • Strong understanding of risk management and business strategies/actions and risk scoring.
  • Excellent quantitative and analytic skills.
  • Proficient in SQL, SAS, and/or C programming in a UNIX environment.
  • Ability to manage effectively in a high pressure organization with multiple deadlines.
  • Results oriented.
  • Team player; excellent ability to work effectively across multiple business and functional areas
  • Strong written and oral communication skill. Comfortable presenting work to peers, cross functional businesses & senior management.