Head, Personal Financial Services (Analytics)

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Functional

• Provide analytical leadership to the team (10-12) to identify sales growth opportunities and develop strategies towards profitability. Perform advanced analytics to support the product and credit teams across acquisition, portfolio cross sell, utilization, and line management.
• Coordinate key initiatives and manage business relationships with key business partners in Product, Credit, Operations and Finance.
• Develop segmentations across portfolios and analyze revenue, profitability, spend behavior, merchant utilization etc.
• Manage Operational Campaigns including preparation of leads, champion-challenger pilots, tracking campaign response and post mortem on campaigns.
• Participate in the development and application of scorecards, pricing elasticity models, propensity models, CHAID analysis, cluster and regression statistical tools on different initiatives.
• Manage the team to ensure that standard reporting and MIS requirements are performed and delivered successfully by the team. Develop and provide trend reports, performance dashboards and MIS statistics to product managers and senior managers.
• Train team members as needed on analytic processes, tools and problem solving.

Experience

• Minimum 10 years experience in Credit Card or Unsecured loan Analytics either in Credit or Marketing or CRM preferably in a Global or Regional Bank.
• Strong quantitative skills required including academic background in mathematics, statistics, business management, economics, engineering or other similar discipline.
• Knowledge and previous experience with statistical modeling such as decision tree tools like CHAID or Logistic Regression.
• Ability to articulate analyses and findings in a crisp and concise manner both verbally and through written presentations/communications.
• Prior experience in managing a small or medium sized team of analysts is preferred.
• Strong project management skills and ability to prioritize work-streams effective
• Knowledge of working with SAS, SQL or other programming languages is desirable.