Manager, Data Driven Decision Science

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Job Description

Responsible to drive advanced customer, account, transactional and geographic insights and quantitative analytics. This includes the development of statistical and mathematical models and prediction of key parameters, trends and behaviours to support CHNW SA in their strategic and tactical initiatives. To create a Visual Analytics infrastructure and capability which enables real-time visualisations, analytics and exploration in order to support business hypothesis testing and data driven strategic initiatives. This is done on a proactive and reactive basis leading to significant increase in business outcome, and achieving a high level of data commercialisation.

Qualifications

Minimum Qualification

• Honours Degree in IT/Mathematics/Statistics/Actuarial/Engineering or related degree

Experience

• 5-7 years' experience in advanced analytics, combined with sufficient knowledge of products and customer behaviour in a financial services environment. Significant exposure to propensity, attrition, CRM and leads management, next-best action and segmentation models, as well as behavioural analysis.

Additional Information

Behavioural Competencies

• Examining Information
• Interpreting Data
• Developing expertise
• Adopting practical approaches
• Providing insights

Technical Competencies

• Advanced knowledge of Microsoft Office (PowerPoint, Excel, Word and Outlook);
• Strong statistical modelling skills
• Strong data manipulation skills
• Strong knowledge SQL and various SQL RDMS (Teradata, Microsoft, etc)
• Understanding of reporting systems (QlikView, Power BI, etc)
• Strong knowledge of Python/R/SAS