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The Credit Portfolio Intermediate Analyst is an intermediate-level position responsible for development, execution, and management of credit risk strategies for US credit cards. Enhance and improve the Risk policies using statistical techniques to optimize business growth and profits by minimizing the losses; Support tactical and strategic Risk Analytics projects for U.S. Consumer Cards; Independently manage development and implementation of effective risk management strategies that balances the risk and reward of the portfolio; Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes; Apply subject matter expertise to the prioritization and planning of projects in conjunction with risk management policies and strategies; Must be able to effectively provide updates and communicate key initiatives to senior risk management; Analyze tests and performance using SAS and decision tree (CHAID/ CART); Evaluate effectiveness of current policies and strategies
Job Responsibility
Must have capability to clearly develop and communicate analysis
A good understanding of credit life cycle
Must have hands on expertise in developing and managing segmentations
Presentations to both technical and non-technical personnel are required to be made frequently as part of the job
Ability to work efficiently in a matrix environment balancing between both business and functional interactions and priorities
Requirements
3+ years of relevant experience
Experienced in developing, implementing, and monitoring credit strategies or scoring models across authorizations, underwriting, existing customer management and collections
Programming skills in advanced SAS, SQL, Knowledge Studio, SAS E-miner in mainframe, UNIX and PC environments
Highly proficient in Excel/pivot tables and PowerPoint
Exposure to project/process management
Strong communication and presentation skills targeting a variety of audiences
Flexibility in approach and thought process
Strong influencing and facilitation skills
Bachelor's degree/University degree in Mathematics/ Statistics/ Economics or equivalent experience