AVP/ Head- Business Risks & Analytics - Nbfc

Rennar & Frais Consulting
  • Pune
  • Confidential
  • 6-10 years
  • 143 Views
  • 16 Oct 2015
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  • Business Analytics

  • Financial Services/ Capital Markets
Job Description

Analytics is a key core to business operations role for running the Fintech risk modeling and validating. Person must have exceptionally strong understanding on creating and running analytics to managelarge unstructured data to assess and build profiles. This position requires strong analyticalskills, attention to detail, a sense of ownership, and a passion for delivering results in a fast-paced, agile environment. Key understanding of risk modeling, data analytics is utmost important. Ability to build the overall risk model for business operations and unsecured lending.

The position requires experience in Data analysis / structures, quality and processing rules, Expertise in Information Analyzer and Manual profiling. The position also need Understanding of profiling, testing and Conceptual understanding of key data attributes interfaces and systems including warehousing. Candidate must have exceptionally good statistical skills.

Responsibilities:
Query and maintain datasets used to model risk and analytics
Create and development of quantitative models used in risk management/core analytics
Code and proof-read scripts in SQL or R
Quality and processing rules, data warehousing, Design tests;
Develop system extracts to support analysis (profiling)
Run data profiling analyses
Provide input to business rules Code, Validates business usage,
Support creation of data quality assessment dashboards 

Masters in statistics with a minimum of 6 years experience in creating and running analytics to manage unstructured data.
Must have demonstrated expertise in risk modelling and data analytics.
Must have expertise in Information Analysis and Manual Profiling.
Must have excellent statistical skills.
Experience with SQL, Exceland Data Analytics tools.
Must have strong inclination for build algorithms and statistical models .
Proficiency in statistical modeling concepts and data analysis techniques.
Strong organizational skills, ability to multitask, and attention to detail.
Team management skills.


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Rennar & Frais Consulting