Credit Risk Analytics -Intermediate Analyst- C11

Role Outline :

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 Citi’s Branded Cards Proprietary Cards Risk Management group in the US.
• Develop and manage implementation of effective risk management strategies that help mitigate credit losses, including designing, executing, interpreting credit tests on statistically sampled customer populations.
• Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes
• Must be able to effectively provide updates and communicate key initiatives to senior risk management.
• Analyzing tests and performance using SAS and decision tree software (CHAID/ CART)
• Evaluating effectiveness of current policies and strategies

Responsibilities:

• Must have capability to clearly develop and communicate analysis
• A good understanding of Credit life cycle,  from Acquisitions through early Collections
• Must have hands on expertise in developing and managing segmentation strategies
• Presentations to both technical and non-technical personnel are required to be made frequently as part of the job.
• Understanding and communicating examples of credit strategy customer impact through example review of Credit Bureau data.
• Ability to work efficiently in a matrixed environment balancing between both business and functional interactions and priorities,  maximizing efficiencies of time-zones to create a continuously operating Credit Policy team.

Qualifications:

• Undergraduate degree with a specialization in Statistics, Mathematics, or other quantitative discipline
• 5+ years’ work experience required

Skills:

• Experienced in developing, implementing and monitoring credit strategies or scoring models across underwriting, existing customer management (examples: Balance Transfer, Credit Line Increase/Decrease, Re-Issue, Transactions Authorization)
• Good programming skills in advanced SAS, SQL, Knowledge Studio, SAS E-miner in PC, UNIX environments.
• Highly proficient in Excel/pivot tables and PowerPoint.  VBA a plus.
• Exposure to project/process management
• Strong communication and presentation skills targeting a variety of audiences
• A qualified candidate needs to be able to work with cross functional teams
• Flexibility in approach and thought process
• Ability to work effectively across portfolio risk policy teams and functional areas teams 
• Strong influencing and facilitation skills.

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