Head Of Risk Analytics and Decision Sciences

Job Description

Essential Job Functions:

To establish a unit responsible for Analytics , automation of Management Information Reports (MIRs) and data mining.

To develop and implement Application score to asses credit worthiness of customers for loan underwriting.

To develop Behavioral scoring models for credit risk management of existing customers.  

Scores are to be developed on conventional scoring techniques along with Psychometric variables.

To develop automated MIRs

To help Credit policy unit in various analyses on portfolio.

Help in developing practical credit risk mitigating tools in a highly undocumented economy

Key Responsibilities:

Maintain data in Data lake/data warehouse (Interdependency on IT)

Should be able to perform Big data analytics to extract meaningful information, such as hidden patterns and correlations.

Develop Application score for each lending product based on conventional variable as well as on the basis of psychometric variable.

Development of Behavioral score for collections, limit enhancements and for offering new products .

Management and periodic validation of the score cards.

Monitor portfolio performance at periodic intervals for any possible policy/score tweaking, based on the insights drawn on the basis of data collected through various modes.

Provide automated Management information reports 

Provide data for regulatory reporting 

Organizational Competencies:

Analytical Skills / Decision Making / Pronlem Solving / Time Manaagement / Lead from the front / Innovation / Team Work

Key Relationships

Internal: IT / Operations, Product Team, Other Units with Risk Management, Direct Reports

External: Software Service Providers

Skills

Data Analytics and Statistical modeling

Score development and its management

Consumer Banking products, credit facilities knowledge

Team Player

Innovative