ANALYTICS MANAGER (Credit Risk)
Talent Genie
- Cape Town, Western Cape
- Permanent
- Full-time
- Drive customer acquisition campaigns and strategies, balancing risk with growth
- Help formulate product and marketing strategy
- Implement and optimise existing account management strategies
- Finding opportunities for profit growth across new and existing account base
- Drive credit sales across the Companies product suite
- Portfolio forecasting of account growth, turnover and vouchering
- Optimise marketing strategies through data science, segmentation and models
- Formulate and present proposals to drive growth and minimise risk
- Drive the credit risk marketing strategy for growth through data science and analysis and optimising of past results
- Portfolio forecasting of credit growth levers (active accounts, turnover, risk vintage performance, discount vouchers etc.) on a quarterly basis
- Monitoring portfolio performance against forecast and managing EXCO expectations where needed
- Develop strategies to grow New Accounts within legislative framework and through digital channels
- Existing account management, including limit management, buying position strategies and re-activation campaigns
- Providing analytical solutions to complex business problems
- Support growth across the product suite and across financial services partnerships
- Documentation of analytical processes and results, adhering to agreed documentation standards
- Effective communication and presentation of analytical results and credit-related topics to peers and relevant stakeholders
- Profitability tracking and identification of opportunities derived
- Data mining of credit bureau and other external data to provide insights and trends
- Ensuring appropriate statistical methodology and data mining / analytics techniques are applied to any modelling process to deliver and deploy robust and effective models where necessary
- Model tracking to ensure effective model life cycle management
- A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Master’s degree preferable)
- Knowledge of the credit risk industry and credit life cycle management
- At least 2 years’ experience managing a small team
- Knowledge and experience in statistical/data management software packages (SAS/SQL) Enterprise Miner would be advantageous
- Hands-on experience of large-scale customer database data interrogation and manipulation would be advantageous
- Experience with data mining and statistical techniques such as logistic regression, decision trees, cluster analysis etc. is preferred
- Excellent data interpretation skills
- Good strategic and conceptual abilities would be advantageous
- Advanced problem solving, judgment and self-management skills
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