Scoring Model Development Role - SAS/Credit Risk/Model Development

Responsibilities:

- Must have hands on expertise in developing or managing scoring models 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. Ongoing management and validation of scoring models across portfolios Development of new scoring models as per business requirement Exploring and implementing alternate modeling techniques, new data sources, etc Evaluating upgraded versions of Generic models as and when required

- Effective interaction with business partners across functions including risk, technology, product management, Model oversight amongst others

Qualifications

- Bachelor's / Master's degree with a specialization in Statistics, Mathematics, or other quantitative discipline

- 5+ years of work experience required

Skills:

- Strong analytical skills in conducting sophisticate analysis using bureau/vendor data, customer performance data and marketing data to solve business problems. Good programming skills in either advanced SAS and SQL 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 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.

Education Level : Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline