Job Description

ANALYTICS MANAGER (Credit Risk) N-Subs, Cape Town, South AfricaCompetitive Package on Offer with excellent benefits!Our Client, a highly reputable Global Retail Financial Services concern is offering this exciting opportunity within the Credit Risk department.Do you know or desire to learn more about the world of Retail Credit Risk and passionate about unlocking hidden secrets in data?If you are someone that enjoys analyzing data, formulating strategies and driving change then this position is for you!The successful individual will be working with the top management in Credit Risk, Credit Marketing & Credit Operations teams in order to: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 riskJob description Managing a team of senior data scientists and strategic thinkers, supporting you to: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 managementTo take up this exciting opportunity you should have:

• A degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Engineering (Honours / Masters 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

To apply for this role, please forward a detailed copy of your CV to

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