Model Development/Validation/Strategy - Global Consumer Bank

This position within Global Consumer Banking will develop CCAR/DFAST stress loss models for international unsecured portfolios (e.g., credit cards, installment loans, ready credit etc.). The responsibility includes but not limited to the following activities:

Obtain and conduct QA/QC on all data required for CCAR stress loss model development

Develop segment and/or account level CCAR stress loss models

Deliver comprehensive model documentation

Work closely with cross functional teams, including country/region's business stakeholders, model validation and governance teams, and model implementation team

Strategy

1. The position will partner with Cards Risk Management policy and provide Model Governance / Validation / Documentation related support for the development, maintenance, validation, and other management of Non Scoring risk models used across all portfolios.

2. Has knowledge and expertise to ensure proper ongoing management of Non Scoring risk models, including but not limited to documentation and validation of the models.

3. Provide support in efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators

4. Interacts, communicates effectively and builds strong working relationship on an ongoing basis with business partners

Req Qualifications:

Bachelor degree or Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline

Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses (e.g., CCAR/DFAST)

Exposure to various CCAR modeling approaches at the segment or account level preferred

Able to communicate technical information verbally and in writing to both technical and non-technical audiences

Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint