In this role, the selected candidate will support the implementation of solutions and technology that drive the fraud oversight and execution models of the fraud framework; participate on cross-functional teams to deliver MIS to support the Fraud Management process.
In this role, the selected candidate will lead development and implementation of effective Fraud detection and prevention strategies to mitigate fraud losses while ensuring an appropriate balance between risk and customer experience.
The Fraud Prevention Insights Analyst position will lead Analysis efforts to identify root causes driving loss performance. This position will also require experience in risk assessment, technological sophistication and data mining techniques which will be critical to success.
In this position, you will create underwriting and line assignment strategies using statistical analysis techniques (including but not limited to Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring and data quality analyses).
The Fraud Digital Communications Lead will support the North America Risk Operations Fraud function for Debit and Retail Banking products. This Lead will also provide secondary support to the fraud functions for Branded Cards, CRS, and Credit.
In this role, the selected candidate will lead all facets of development and implementation of fraud application strategies in the Branded Cards and Retail Banking portfolios, and help drive solutions for CRS in partnership with CRS Risk.
In this role, the selected candidate will work with the Business to understand and assess new projects for fraud risk; act as a primary point of contact for the partner and the Retail Services business to escalate fraud issues.
In this role, the selected candidate will manage pre charge-off loss mitigation treatment programs (including re-age, forbearance and/or settlement programs) and loss recognition / charge-off controls for general purpose and private label credit cards.
The CCB Risk Core Modeling Data Scientist will be a key individual contributor on the Fraud Modeling team that is responsible for developing and implementing best-in-class fraud prevention and detection models and analytical tools.
This position require managing collections strategies related to loss mitigation treatments and customer level policies from conception to roll-out with a special focus on segmentation analytics and strategy development for various card portfolios.