Fresh Jobs at Capitec Bank

Purpose Statement

• To manage Credit risk through tracking Credit Granting Employer Policy and by analysing Credit data and operational intelligence to derive effective and useable management insight.
• To design and propose Credit Granting Employer Policy Solutions

Experience

• 3 - 5 years relevant retail credit analysis experience (incl. SQL programming)

Ideal:

• Capitec Bank experience

Qualifications (Minimum)

• Bachelor's Degree in Financial Sciences or Statistical Sciences

Qualifications (Ideal or Preferred)

• Masters Degree in Financial Sciences or Statistical Sciences

Knowledge

Min:

• Retail credit lifecycle
• Retail credit market
• Database querying software (ex. SQL)
• National Credit Act (NCA)
• Consumer Protection Act (CPA)
• Banks Act and Basel III Risk Framework
• Protection of Personal Information Act (POPI)
• Project management principles
• Credit affordability assessment regulations

Ideal:

• Capitec Bank's credit policy and system

Skills

• Communications Skills
• Reporting Skills
• Presentation Skills
• Interpersonal & Relationship management Skills
• Facilitation Skills
• Commercial Thinking Skills
• Project Management Skills (Methodolgy Specific)
• Analytical Skills
• Numerical Reasoning skills
• Computer Literacy (MS Word, MS Excel, MS Outlook)
• Programming skill (SAS, SQL, R, Python)

Additional Information

• Clear criminal and credit record
• A valid driver's license and own vehicle is required
• 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

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 (Relevant Honours Degree with a major in Data Science / Mathematics / Statistics /  Informatics / Risk Management)

OR

• 3 years’ relevant experience in statistical analysis (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

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 Modelling

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