Role and Responsibilities:
Core Responsibilities:
- 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
- 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
- Provide support in efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators
- Interacts, communicates effectively and builds strong working relationship on an ongoing basis with business partners
Day-to-Day Responsibilities:
- Ensures efficient delivery against requirements set forth by internal Risk oversight group as well as external regulators on non-scoring model validation, documentation and governance
- Driving adoption of best practices to different portfolio risk teams with specific focus on segmentation model validation, governance and documentation
- Work closely with the credit risk policy teams in any of the following areas - authorizations, underwriting, existing customer management, collections and fraud to develop best in class segmentation/non- scoring models and help validate and document the models
- Interact, communicate effectively with business partners on model policy, model approval process and its requirements both during day-to-day interaction and through formal training
- Develop training programs to share modeling best practices with the broader risk management community
- Must have capability to clearly communicate analyses. 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
Key Deliverables:
- Ongoing validation and documentation of segmentation/non-scoring models across portfolios and credit lifecycle
- Ongoing dialogue with portfolio risk teams to drive adoption of best practices around segmentation models
- Ensure efficient and quality delivery against requirements set forth by risk oversight team and regulators
- Exploring and implementing alternate modeling/segmentation techniques
Qualifications:
Required:
Education:
- Masters or Doctoral degree with a specialization in Statistics, Mathematics, or other quantitative discipline
Experience:
- 5+ years- work experience required
Skills:
- Experienced in developing, implementing and monitoring credit strategies or scoring models across authorizations, underwriting, existing customer management and collections
- Good 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
Other:
- 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
- Analytical mindset
Preferred Skills:
- Knowledge on Credit Scoring Models, Comprehensive Capital Analysis and Review (- CCAR- ) and Dodd-Frank Act Stress Testing (- DFAST- ) regulations
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