Capitec- Credit Management

Share this post on

To apply, click on the link at the end of the posts and all the best with your applications.

Decision Science-Pipeline

Date: 15 Nov 2024

Location: Stellenbosch, Western Cape, ZA

Company: Capitec Bank Ltd

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:

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.

Join Us in Becoming the Best Bank in the World!!

We’re on the lookout for energetic, highly motivated individuals who share our passion for collaboration, learning and designing state of the art solutions through analytics to support the Capitec Retail Credit strategy with Capitec clients always forefront of mind. To be part of the journey, follow the steps below:

Who We Are

We are a bank, but we’re much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable and delivered through personal experience. By helping our clients manage their financial lives better, we enable them to live better. 

Why Choose Us

At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow. 

Purpose Statement

Decision Scientists are expected to translate data into usable strategic information and influence business decision through analytics, to develop credit scoring models using the most applicable modelling techniques and to optimize our client’s experience through ensuring the models and client strategies are designed to meet the client’s and business need across Granting, Account Management and Recoveries and Collections.

About the role

Exciting Career Opportunities await You at Capitec!

Join our innovative Credit Management division as a Decision Scientist in the vibrant locations of Stellenbosch or Sandton. We’re actively seeking individuals at all experience levels, from entry to intermediate to senior/lead, to become part of our dynamic teams.

As a Decision Scientist at Capitec, you’ll play a pivotal role in building application and behavioral scorecards. We’re looking for candidates with a postgraduate degree and relevant experience at varying levels.

If you’re eager to be a part of the Capitec family in 2024 and ready to elevate your career to new heights, seize the opportunity by submitting your details through this advertisement today. Let’s connect in 2024 and embark on this exciting journey together!

Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals

Experience

  • 4 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

Qualifications (Minimum)

  • Honours Degree in Mathematics or Data Science

Qualifications (Ideal or Preferred)

  • Masters Degree in Mathematics or Data Science

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
  • Programming skill (SAS, SQL, R, Python)
  • Commercial Thinking Skills
  • Interpersonal & Relationship management Skills
  • Leadership Skills

Competencies

  • Care and passion for our people (Departmental Contributor)
  • Earn and extend trust (Departmental Contributor)
  • Simplify and make it easy (Departmental Contributor)
  • Drive innovation mindset (Departmental Contributor)
  • Lead with the “Why” (Departmental Contributor)
  • Attract and relentlessly develop people (Departmental Contributor)
  • Make decisions – faster and smarter (Departmental Contributor)
  • Inspire optimism and persistence (Departmental Contributor)

Conditions of Employment

  • Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.

Decision Scientist II

Date: 5 Nov 2024

Location: Stellenbosch, Western Cape, ZA

Company: Capitec Bank Ltd

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 look at ways of analysing and optimising 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 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.

Education (Minimum)

  • Honours Degree in Mathematics or Statistics

Education (Ideal or Preferred)

  • Masters Degree in Mathematics or Statistics

Knowledge and Experience

Minimum Knowledge and Experience:
Experience:

  • Length of experience required is conditional on the qualifications obtained 
  • Experience in statistical (predictive and classification) model development and deployment incl. traditional scoring (logistic regression with binning and missing value replacement e.g. reject inference), machine learning (neural networks, SVM, random forests etc.), and quantitative analysis (time value of money etc.)
  • General business know-how: e.g. risk, compliance, operations e.g. NCR, POPIA, SARB
  • Business analysis and requirements gathering
  • Working in cloud environments e.g. Azure, AWS and large relational databases 
  • Experience in at least one ML language (e.g. Python or SAS Viya) 
  • Functional business area (e.g. Credit) environment knowledge and experience

Knowledge:

  • Understanding of state of the art statistical (predictive and classification) model development and deployment principles and techniques incl. traditional scoring (logistic regression with binning and missing value replacement e.g. reject inference), machine learning (neural networks, SVM, random forests etc.), and quantitative analysis (time value of money etc.).
  • Underlying theory and application of machine learning models; able to understand underlying principles and theory. 
  • Best practices for decision science such as reusability, reproducibility, continuous monitoring, etc

Ideal Knowledge and Experience:

  • Financial sector experience
  • Working with multiple teams to deliver predictive models into a production environment
  • Capitec Decision Science lifecycle 

Skills

  • Planning, organising and coordination skills
  • Numerical Reasoning skills
  • Attention to Detail
  • Problem solving skills
  • Decision making skills
  • Interpersonal & Relationship management Skills
  • Analytical Skills
  • Researching skills
  • Presentation Skills

Additional Information

  • Clear criminal and credit record

Team Leader: Decision Science

Date: 5 Nov 2024

Location: Stellenbosch, Western Cape, ZA

Company: Capitec Bank Ltd

Purpose Statement

  • To lead a decision science team, prioritising and overseeing analysis to translate active business data into usable strategic information which informs the business regarding critical and measurable credit and risk indicators.
  • To ensure the delivery within the area of responsibility aligns with the objectives, plans, processes and standards of Decision Science 

Experience

Minimum:

  • Over 6 years’ experience in an analytical science role, at least 3 of which in a leadership or management role requiring validating work
  • Extracting and aggregating data from large relational databases
  • Data mining and predictive modelling
  • Stakeholder relationship engagement and management
  • Responsibility for delivery in a fast moving environment
  • Programming (SAS, SQL, R, Python)

Qualifications (Minimum)

  • Honours Degree in Mathematics or Statistics

Qualifications (Ideal or Preferred)

  • Masters Degree in Mathematics or Statistics

Knowledge

Minimum:

  • Advanced analytics
  • People management practices and principles
  • Business acumen to identify the impact technical issues may have on design and delivery of solutions. 
  • Analytics
  • Predictive modelling and machine learning
  • Project management methodologies
  • IT implementation cycle
  • Credit cycle
  • Technical understanding and knowledge 
  • Interpretation of user requirements and translation into business requirements specifications
  • Retail credit environment / industry

Ideal:

  • Capitec Bank experience
  • Retail credit environment / industry

Skills

  • Analytical Skills
  • Communications Skills
  • Decision making skills
  • Interpersonal & Relationship management Skills
  • Planning, organising and coordination skills

Conditions of Employment

  • Clear criminal and credit record

Click here to apply

All the best with your applications.

Share this post on

Be the first to comment

Leave a Reply

Your email address will not be published.


*