CCB Fraud Strategy

As a Strategic Analytics Senior Associate, youll work with the risk team to generate thoughtful analytics and recommendations to the business concerning Fraud & Scam Risk-Prevention strategy development, implementation, operational controls, and performance monitoring.

Responsibilities

• Develop and maintain periodic analytics to provide management with full insight into emerging fraud & scam trends and the quality of the originated accounts


• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle


• Acquire an understanding of the operational processes (e. g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers


• Conduct ad hoc analytics and contribute to various projects representing Risk Management

Qualifications

• MS degree and 3 years Risk Management or other quantitative experience preferred. Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required


• Familiarity with risk analytic techniques


• Strong analytical and problem-solving abilities


• Strong written and oral communication skills


• Experience in delivering recommendations to senior management


• Adept to solving complex business problems independently


• Intermediate/ Advanced understanding of SAS, SQL, SAS Enterprise Miner, or other decision tree software


• Ability to query large amounts of data and transform the raw data into actionable management information

As a Strategic Analytics Senior Associate, youll work with the risk team to generate thoughtful analytics and recommendations to the business concerning Fraud & Scam Risk-Prevention strategy development, implementation, operational controls, and performance monitoring.

Responsibilities

• Develop and maintain periodic analytics to provide management with full insight into emerging fraud & scam trends and the quality of the originated accounts


• Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle


• Acquire an understanding of the operational processes (e. g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers


• Conduct ad hoc analytics and contribute to various projects representing Risk Management

Qualifications

• MS degree and 3 years Risk Management or other quantitative experience preferred. Otherwise, BS degree and minimum 5 years Risk Management or other quantitative experience required


• Familiarity with risk analytic techniques


• Strong analytical and problem-solving abilities


• Strong written and oral communication skills


• Experience in delivering recommendations to senior management


• Adept to solving complex business problems independently


• Intermediate/ Advanced understanding of SAS, SQL, SAS Enterprise Miner, or other decision tree software


• Ability to query large amounts of data and transform the raw data into actionable management information