First Gulf Bank is Hiring!

Job description/ Role Purpose

The Head of Data Modelling will be responsible for all human and technical resource managerial responsibilities associated with Analytics team and primarily responsible for predictive analytics, data driven segmentation and cross-sell initiatives across CBG business areas.

Key Accountabilities

• Develop and Implement Suite of Statistical Model for FGB Consumer Banking Business. 
• Building Activation, Acquisition, Usage, Retention, Cross Sell, Upgrade , Life Time Value Model and ensure successful implementation of same across business lines. 
• Drive customer segmentation and Client value preposition development across CB Client segments. 
• Initiate and Lead marketing research to understand Market Clusters and tailor made offers accordingly. 
• Establish analytic standards and procedures and MIS framework within the Consumer Banking business units to drive overall Consumer Bank Performance. 
• Work closely with business segments within Consumer Banking so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support customer acquisition, cross-sell, up-sell, retention and win back. 
• Using Predictive Analytics to develop statistical models – propensity models (acquisition, cross-sell, usage, inactivity, retention etc.), revenue models and actionable customer micro-segmentation. 
• Perform quantitative analysis to design portfolio strategies and used champion-challenger approach to implement the strategies across different phases of customer and product life cycle. 
• Identify opportunity for cross-sell, up-sell, and retention for Consumer Banking customers and work with business units to design and launch high impact campaigns. 
• Monitor and track the campaign performance results and perform campaign performance analysis. 
• Work closely with Product and Segment Managers to develop pricing strategies at product/ customer level. Perform pricing analysis including elasticity analysis to develop a value based pricing framework. 
• Provide analytical support to credit policy team to perform was-is analysis, identify opportunities for credit policy revision, design and conduct champion-challenger analysis on test programs. 
• Collaborate with digital transformation team to launch data driven campaigns to successfully migrate customers to new digital platforms 
• Collaborate with IT and Strategic Projects teams for successful development of a CRM roadmap and work with Consumer bank business to adopt the best practice CRM framework by developing analytics solutions (Next best action, segmentation) across sales, marketing and services. 
• Develop MIS dashboards to represent the portfolio summary and key insights to senior management in easy to understand visual mode. 
• Partner with IT to design and enhance a 360 degree single customer view data mart for retail customer to perform customer centric quantitative analysis and help the bank in designing customer centric strategies. 
• Lead and mentor the team of analysts to establish a high performance unit. 
• Establish and maintain excellent inter-department communication so that roles, requirements, dependencies, decisions, and work processes are clearly articulated and understood. 

Key Stakeholders

• Head of CBG Business Management 
• Head of Consumer Business segments-Personal Banking, Affluent Banking, Emirati Segment, Business Banking 
• Head of Distribution and Channels
• Head of Consumer Credit and Collections 

Knowledge & Experience

• Bachelor’s Degree in related field (Business, Mathematics, Statistics or related field) is required. Advanced degree (Masters) is strongly preferred. 
• Minimum of 12 years of progressively responsible experience in retail banking analytics where both professional and management capability have been clearly demonstrated. 
• Extensive expertise and/or demonstrated experience with business intelligence tools, designing, reporting and delivering analytical solutions; data management and the strategic use of information. 
• Experience must include strong skills in research, analysis, campaign management, propensity modeling, gating and attrition models. 

Skills

• Experience and an understanding of a wide variety of analytical processes. 
• Excellent written and verbal communication skills. 
• Experience managing large complex business intelligence and analytical projects. 
• Ability to complete projects and achieve results in an ambiguous work environment. 
• Strong leadership skills within the project team and in the business community. 
• Ability to establish and articulate a vision, set goals, develops and executes strategies, and track and measure results. 
• Ability to build and motivate a team to achieve well communicated expectations. 
• Strong negotiating and consensus building abilities. 
• Significant skill required to work effectively across internal functional areas in situations where clear parameters may not exist. 

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