Assistant Vice President - Non Scoring Risk Model

Job Description

Position Title: Assistant Vice President

Department: Non Scoring Risk Models

Grade/Level: C12

Function/Group: Retail Services - Risk Management Analytics

Location: Mumbai

Individual Contributor (IC)/Managerial: IC

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

Must have the 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 the management and 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

Drives adoption of best practices and dissemination of group risk policies and procedure to different portfolio risk teams with specific focus on segmentation models

Work closely with the credit risk policy teams in any of the following areas - authorizations, underwriting, existing customer management, collections & 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

Mentors junior members of the team; Coaches team members and work closely with the non-scoring team lead to help prioritize work for smooth functioning

Key Deliverables:

Ongoing management and validation 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

Develop and share best practices with multiple stakeholders in the risk management group

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:

8+ years- work experience required

Skills:

Experienced in developing, implementing and monitoring credit strategies 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

Creates and sustains a network of strong client relationships

Flexibility in approach and thought process

Ability to work effectively across portfolio risk policy teams and functional areas teams

Strong influencing, negotiating, and facilitation skills

Analytical mindset

Preferred Skills:

Credit cards risk policy and portfolio management experience is preferred

Knowledge on Credit Scoring Models, Comprehensive Capital Analysis and Review (- CCAR- ) & Dodd-Frank Act Stress Testing (- DFAST- ) regulations

Interested candidates can apply or contact Rashmi - 8049053030