Jobs at Capitec Bank

Purpose Statement

• Delivering business solutions via a collaborative approach involving mathematical formulae, business tactics, technological applications and behavioural sciences to help senior management make data driven decisions.

Experience

Minimum:

• 6 years' relevant experience in statistical analysis (with relevant Degree with a major in Data Science / Mathematics / Statistics / Risk Management)

OR

• 4 years' relevant experience in statistical analysis (with relevant Honours Degree with a major in Data Science / Mathematics / Statistics / Risk Management)

OR

• 3 years' relevant experience in statistical analysis (with relevant Master's Degree with a major in Data Science / Mathematics / Statistics / Risk Management)

Experience must include the following (within the Retail Credit Risk Management Environment):

• Extracting and Aggregating Data from Large Relational Databases
• Data Mining and Predictive Modelling

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational
• A relevant degree in Data Analysis or Mathematics

Qualifications (Ideal or Preferred)

• A relevant post graduate degree
• Masters Degree in Data Analysis or Mathematics

Knowledge

• Analytics
• Predictive Modelling and Machine Learning
• Project management methodologies
• IT implementation cycle
• Credit cycle
• Technical understanding and knowledge (different operating systems / databases / programming languages)
• General business acumen to identify the impact technical issues may have on design and delivery of solutions.
• Best practices and tools in credit risk
• Interpretation of user requirements and translation into business requirements specifications
• Retail credit environment / industry
• Confidentiality and intellectual property implications and constraints
• Interpretation of user requirements
• Translation of business requirements into business requirement specifications

Skills

• Communications Skills
• Numerical Reasoning skills
• Analytical Skills
• Reporting Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Attention to Detail
• SAS Skills
• SQL Skills
• R skills
• Python skills
• Interpersonal & Relationship management Skills

Additional Information

• Clear criminal and credit record
• Ability and willingness to work in an open plan environment

Skills

• Communications Skills
• Numerical Reasoning skills
• Analytical Skills
• Reporting Skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Attention to Detail
• SAS Skills
• SQL Skills
• R skills
• Python skills
• Interpersonal & Relationship management Skills

Additional Information

• Clear criminal and credit record
• Ability and willingness to work in an open plan environment

go to method of application »

Purpose Statement

• Delivering business solutions via a collaborative approach involving mathematical formulae, business tactics, technological applications and behavioural sciences to help senior management make data driven decisions.

Experience & Qualifications

• Relevant Degree with a major in Data Science / Mathematics / Statistics / Risk Management with 6 years' relevant experience in statistical analysis

OR

• Relevant Honours Degree with a major in Data Science / Mathematics / Statistics / Risk Management with 4 years' relevant experience in statistical analysis

OR

• Relevant Master's Degree with a major in Data Science / Mathematics / Statistics / Risk Management with 3 years' relevant experience in statistical analysis
• Experience must include the following (within the Retail Credit Risk Management Environment):
• Extracting and Aggregating Data from Large Relational Databases
• Data Mining and Predictive Modellin

Knowledge

• Predictive Modelling and Machine Learning
• Project management methodologies
• IT implementation and credit cycle
• Technical understanding and knowledge (different operating systems / databases / programming languages)
• General business acumen to identify the impact technical issues may have on design and delivery of solutions.
• Best practices and tools in credit risk
• Interpretation of user requirements and translation into business requirements specifications
• Retail credit environment / industry
• Confidentiality and intellectual property implications and constraints
• Interpretation of user requirements
• Translation of business requirements into business requirement specifications

Skills

• Communications Skills
• Analytical Skills
• Numerical Reasoning skills
• Commercial Thinking Skills
• Interpersonal & Relationship management Skills
• SAS Skills
• SQL Skills

Additional Information

• Clear criminal and credit record