Industry - Banking / Financial Services / Broking
Category - Consulting
Skills - Risk Analytics, Marketing Analytics
Job Type - Permanent
Job Description - Our client is a leading bank in India and doing very well in the lending space and are looking for the Head of Credit Card Anaytics
Client Details
Our client is India's leading integrated financial services group with diverse operating businesses, mainly, Retail secured and unsecured loans,Corporate loans. They serve more than 4 million satisfied customers across various business segments and is continuously building on its strengths to deliver excellent service to its expanding customer base.
Description
As VP- Analytics, you would be responsible for:
- Successfully conceptualize, develop and deploy advanced analytics solutions in a high performing environment. Objective of the Credit card analytics group is to create bottom-line impact for a leading Indian Financial institution by leveraging cutting edge analytics solutions
- Develop and implement advanced analytics approaches including statistical modelling and machine learning techniques such as XGBoost, Decision Tree, Clustering techniques, PCA, Collaborative Filtering, Neural Networks, Time-series etc.
- Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line across the range of analytics initiatives- Customer Segmentation, customer Lifecycle management, attrition / Cross-Sell / Upsell Propensity Models, Customer Lifetime Value, Pricing Analytics
- Display strong storytelling and articulation skills to convert analytical output into clear, concise and persuasive insights and recommendations for technical and non-technical audience
- Create advanced reports and dashboards to facilitate faster decision making
- Should have expert knowledge in at least one of the statistical soft wares - SAS, SQL, R, Python, Excel VBA, BI platforms (Tableau, Qlikview)
Profile
As a successful candidate for an AVP- Analytics role, you should have:
- 7-10 years of experience in Credit cards or unsecured credit risk
- Proficiency in relevant analytic programming skills (R, Python, Excel) and willingness to work closely with large data sets and get into the details with business processes
- Excellent credit judgment and risk assessment as demonstrated by previous experience in developing lending customer acquisitions and/or portfolio management strategies
- Comfort in re-defining frontiers and passion for doing cutting edge work in Credit cards
- Excellent knowledge on Customer lifecycle management
- Worked on Segmentation, Cross sell, up sell, Campaign effectiveness, Collection analytics
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