Apply by:
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
- To see what life at Capitec is all about and complete a short assessment, please click here!
- Once you have completed the above, finalize your application by clicking apply below
Purpose Statement
- To solve business problems, create new products and services, and improve processes through using the disciplines of data science, quantitative (financial) analysis, and traditional scoring techniques, translating active business data into usable strategic information.
- To analyze and optimize data related to specific business areas; framing data analysis in terms of decision-making processes for questions or business problems posed by stakeholders.
- To help build and deliver Capitec's AI strategy, enabling data-led and improved business decision-making.
- To design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.
Minimum Education
- Honours Degree in Mathematics or Statistics
- Grade 12 National Certificate / Vocational
Preferred Education
- Masters Degree in Mathematics or Statistics
Knowledge and Experience
Minimum Experience:
- Relevant work experience length depends on qualifications obtained
- Deep understanding of and expert experience in state-of-the-art statistical model development and deployment, including traditional scoring (logistic regression with binning and missing value replacement), machine learning (neural networks, SVM, random forests, etc.), and quantitative analysis (e.g., time value of money)
- General business acumen: risk, compliance, operations (e.g., NCR, POPIA, SARB)
- Business analysis and requirements gathering
- Experience working in cloud environments (e.g., Azure, AWS) and with large relational databases
- Experience in at least two machine learning languages (e.g., Python or SAS Viya)
- Expert knowledge of the Credit environment
Minimum Knowledge:
- Understanding of state-of-the-art statistical model development and deployment principles, including teaching others
- Theory and application of machine learning models
- Best practices for decision science
- Technical understanding
Ideal Knowledge and Experience:
- Over 6 years’ experience in an analytical science role
- Experience in the financial sector and retail credit environment
- Experience working with multiple teams to deploy predictive models into production
- Stakeholder engagement at senior levels
- Knowledge of Capitec Decision Science lifecycle
- Project management methodologies
Skills
- Planning, organizing, and coordination
- Numerical reasoning
- Attention to detail
- Problem-solving
- Decision-making
- Analytical and researching skills
- Presentation and communication skills
- Relationship management
Additional Information
- Clear criminal and credit record
Capitec is committed to diversity and supports employment equity goals.