Head - Advance Analytics & Business Intelligence - BFSI

- Responsible for the overall Advance Analytics and BI strategy, as well as large scale campaign execution.

- Lead the design, development and implementation of analytics solutions in areas which encompass the lending life cycle: Pre Acquisition, Acquisition, Service & Collections using Advanced analytics techniques

- Lead, develop and grow a team of Data Analysts and Data Engineers to focus on a variety of data analytics and modeling problems

- Ensure Analytics & BI projects are delivered on time

- Implement an efficient Business Intelligence strategy to deliver effective Portfolio analysis.

- Roll out campaign management capabilities of both financial and non financial & stimulation campaigns.

Implement a robust Analytics architecture which delivers solutions for:

Customer interfacing analytics

Customer analytics

Near real-time back-end analytics

Pre Acquisition Analytics framework

High speed analytics

Demographic, Behavioral, Value based segmentation of Prospect & Existing Customer dataset along with Propensity and Offer framework

Implementing Stream computing and Network mining techniques

Web and Mobile data analytics framework

Offer Generation and Acquisition Analytics

Credit & Risk Policy Scorecards

Transaction based offers

Real time underwriting decision scorecard

Business portfolio cost & Pricing Scorecard

Repayment & Collections

Pre delinquency Analytics along with Early Warning systems

Probability of Default framework

Customers payment channel along with payment pattern framework

Roll out BI solutions that provide standardized & canned reports and basic drill down capabilities.

Campaign Management

Roll out Risk, Marketing and Stimulation Campaigns with a high level of Process rigor

Required Candidate Profile:

Around 10 - 17years (with Atleast 8 years relevant experience)

PhD or Masters in Statistics or Economic or MBA from a Premier Institute

Ability to identify key insights from large scale data analysis and leverage them to inform and influence product strategy

Relevant industry experience in data mining, machine learning, statistical analysis, and modelling

Experience in working with large datasets and Big data systems SQL, Hadoop, Hive, etc.

Ability to build models (Logistic regression & Time series) and develop scorecards

Ability to use CART OR CHAID technique to solve classification problems and Quantitative Regression using SAS or SPSS or R

Experience in developing cutting edge credit profiling engine augmenting data from non-traditional sources

In-depth Knowledge of Business processes related to Origination, Receivables and Collections of Lending sector in BFSI segment

Thorough knowledge of Unsecured and Secured lending products like Personal Loans and Mortgages along with Value added distribution products