- Barclays moves, lends, invests and protects money for customers and clients worldwide. Please visit our website here for more information.
Overall purpose of role :
- Responsible for Marketing Analytics for Retail banking portfolio, both Assets & Liabilities - Building response models, cross-sell models, attrition & loyalty modelling, customer segmentation & profiling, targeting strategies, production of monitoring MI and Analytics evaluating campaign performance
Key Accountabilities and Skills required :
This section should include :
Key specific accountabilities.
- Develop predictive models & targeting strategies to support Marketing efforts
- Develop and execute a comprehensive cross sell, retention and growth strategy for existing customers, both for assets & liabilities
- Production of regular performance monitoring across all marketing campaigns
- Performance monitoring of models / scorecards
- Identification of enhancements within agreed parameters to optimise performance
Stakeholder management and leadership.
- Engage with on-shore partners and business heads to execute analytics projects in line with business expectation
Decision making and problem solving.
- Increase awareness and market share for deposits through product/event led campaigns
- Value added offers and services to customers to improve customer engagement
- Design and implement a Customer Life Cycle Management (CLCM) program to improve customer service & brand experience, increase product penetration and control attrition
Risk and Control : All Barclays colleagues have to ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards
Your Skills and Qualifications will include :
Skills and Competencies :
Essential :
- Extensive experience in marketing analytics for retail lending portfolio
- Knowledge of retail financial services & products
- Aptitude for using statistical programming languages
Preferred :
- Strong understanding of lending products from marketing, finance, risk and policy perspective
- Proficiency in SAS and SQL, or other suitable statistical programming language
Knowledge and Expertise :
Essential :
- Awareness of the financial services industry
- Knowledge of scorecard modelling techniques
- Strong analytical, technical and/or statistical skills
Preferred :
- Knowledge of Credit Industry Product lines
- Knowledge of portfolio and customer dynamics
Experience and Qualifications :
Essential :
- Relevant experience in analytical industry
- Strong tracking records in developing the best-in-class tools and models for large financial institutions
- Strong analytical background, data driven, results orientated
Preferred :
- Masters in Statistics, Mathematics, Economics, operational research field, CA, Engineer, MBA
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