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:
1. To see what life at Capitec is all about and complete a short assessment, please click here.
2. 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, translating active business data into usable strategic information.
- To analyze and optimize data as it relates to a specific business area; framing data analysis in terms of the decision-making process for questions or business problems posed by a stakeholder.
- To help build and deliver Capitec's AI/Machine Learning strategy, enabling data-led and improved business decision making. Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement, increased revenue, or reduced costs.
Candidate Requirements
Qualifications & Experience:
- Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 4+ years relevant work experience. OR
- Honours Degree in Mathematics | Statistics | Data Science | Business Analytics | Engineering | Computer Science plus 3+ years relevant work experience. OR
- Master's Degree in Data Science or relevant discipline (e.g., Mathematics, Statistics, Engineering, Computer Science).
Knowledge:
- Functional business area (e.g., Credit) environment knowledge and experience.
- Regulatory requirements (e.g., NCR, POPIA, SARB).
- Business analysis, requirements gathering, translating into business requirement specifications, and designing and delivering business solutions.
- Modern software development best practices.
- Working in cloud environments (e.g., Azure, AWS).
- Different operating systems/databases/programming languages.
- Predictive modeling techniques (statistical and machine learning) and deployment.
- Extracting, aggregating, cleaning, and analyzing data from large relational databases.
- Data Science lifecycle and applicable skills within.
Functional Skills:
- Programming; Database manipulation | Data Exploration Visualization.
- Statistical model development.
- Advanced computer literacy and programming (Office Suite, working on different OS environments, e.g., working on remote Linux environment and dockerizing machine learning models).
- Building and deployment of models.
- ML language, for example, SQL, SAS.
- Version Control.
- Ability to productionalize and solution design.
- Ability to learn, understand, and apply complex machine learning methodologies.
- Functional domain skill of the (e.g., credit) environment.
- Capability to identify, define, and solve the business problem, i.e., application of domain know-how and problem-solving.
- Cloud computing (navigating on cloud vs. on-premises).
Additional Information:
- Clear credit and criminal record.
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.