Dun & Bradstreet - Specialist - Analytics - Retail Lending/Banking Domain

Job Description:

- Generate Analytical Insights and Predictive Solutions to enable better decision making for various industries.

- Deliver various types of analytical solutions under limited direction and in sparse data conditions.

- Provide consultancy to clients on usage of analytic solutions to achieve business goals.

- Help and Guide Technology and Systems Teams to implement analytical solutions and models integrating data from diverse sources.

- Adherence to Internal or Customer Specified Quality and Timeliness Standards

Desirable Skills:

- Prior Experience in Retail Lending /Banking or related domains is mandatory.

- Proficiency in analytical tools like SAS and SPSS is mandatory.

- Should have SIGNIFICANT hands on experience in scorecard development and monitoring.

- Hands on experience in generating structured insights from big data - collected from different sources and formats.

- Business acumen and ability to translate data insights into meaningful business recommendations

- Excellent verbal, written communication and presentation skills and adaptability to different cultural environments.

- Experience of 5-8 years would be the ideal fit.

Special Mention:

- Post Graduate in Quantitative Disciplines would be preferred.

- Short to Medium duration Client Site Visit would be required.

- Sound knowledge of applied statistics / econometrics and data mining is a prerequisite.