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
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