Job Openings at Capitec Bank

Purpose Statement

• Responsible for the writing and coding of individual programs for Capitec Bank Internal Back Office Applications & Internet facing Applications according to specifications.

Experience
Minimum:

• 5 years’ proven experience in software development
• Experience in the following development languages:
• SQL 2016 and higher
• .NET Standard & .Net Core (C#)
• Implementation of MVVM or MVC design patterns
• WPF (Windows Presentation Foundation)
• XAML
• OO Development Methodologies
• An understanding of Micro Service Architecture

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)

• A relevant qualification in Information Technology

Knowledge
Min:
Must have detailed knowledge of:

• IT systems development processes (SDLC)
• Application development
• Testing practices

Ideal:
Knowledge of:

• Systems analysis and design
• Banking systems environment
• Agile Development Methodology

Skills

• Communications Skills
• Interpersonal & Relationship management Skills
• Analytical Skills
• Problem solving skills

Competencies

• Adhering to Principles and Values
• Analysing
• Applying Expertise and Technology
• Coping with Pressures and Setbacks
• Delivering Results and Meeting Customer Expectations

Additional Information

• A valid driver's license and own vehicle is preferred
• Clear criminal and credit record
• Willingness to work or be available overtime and / or weekends if required
• Willing and able to use own home as a formal office / base of operations (including space for ad hoc storage of paperwork, stock, etc.)

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Purpose Statement

• To build, implement, improve and support the AI platform which will support delivery of the Capitec AI strategy.

• To collaborate in creating and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape.  The effective use of AI technologies will be a key strategic differentiator in the future.

Experience

Minimum:
Proven experience in:

• 2+ yrs software development experience

• Strong analytical and problem-solving skills

• Expert in Python and SQL

• Experience with the modern software development best practices, e.g.

  • agile software development

  • code reviews

  • unit testing

  • version control, e.g. git

  • CI/CD

• Experience with microservice architectures

• Experience working in an agile team

• Experience with ML frameworks and tools (e.g. pandas, numpy, scikit-learn, TensorFlow, Pytorch, Spark MLlib)

• Experience with modern ETL, compute and orchestration frameworks, e.g. Apache Spark, Apache Flink, Apache Kafka, etc.

• Development experience in both Windows and Linux

• Experience with container technologies, e.g. Docker, Kubernetes

Ideal:

• Experience in building machine learning or AI systems

• Proficiency in R language

• Experience deploying models to production

• Experience building distributed systems

• Experience with NoSQL databases

• Experience working with ML platforms, e.g. MLflow, Kubeflow, etc.

• Experience working with Data Science platforms, e.g. Dataiku, Domino, etc.

• Experience with cloud-based infrastructure, e.g. Azure, AWS, GCP; ideally AWS

Qualifications (Minimum)

• A relevant qualification in Information Technology - Computer Science or Engineering - Other

Qualifications (Ideal or Preferred)

• Masters Degree in Information Technology - Computer Science or Engineering - Other

Knowledge

Min:
Must have knowledge of:

• Object oriented and functional programming in Python

• Modern software development practices

• Database querying using SQL

• Data life cycle

• Machine learning concepts

• Machine learning model life cycle

• Microservice architectures

Ideal:
Knowledge of:

• Data Science lifecycle

• Distributed system design

• Big data storage and processing solutions

• Machine learning model architectures

Skills

• Analytical Skills

• Decision making skills

• Planning, organising and coordination skills

• Problem solving skills

• Researching skills

Competencies

• Achieving Personal Work Goals and Objectives

• Delivering Results and Meeting Customer Expectations

• Working with People

Conditions of Employment

• Clear criminal and credit record

• A valid driver's license and own vehicle is required

• Contactable via own mobile phone

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Purpose Statement

• To assist in building and delivering the AI strategy to ensure Capitec is able to compete in a fast changing landscape. Data science will be a key strategic differentiator in the future.

• Data scientists will help automate and improve processes, create new products and services and assist with improved decision making based on data.

Experience

Proven experience in:

• 2+ years of experience in building machine learning models in Python/R 

• Business analysis and requirements gathering

• Reproducible coding experience and working with source control tools e.g. Git, Bitbucket

• Experience in deploying models into production

• Spark, Hadoop or similar big data coding experience 

• Working in remote environments, e.g. Docker, Linux

• Working in cloud environments, e.g. Azure, AWS

Qualifications (Minimum)

• Honours Degree in Data Science or Mathematics

Qualifications (Ideal or Preferred)

• Doctoral Degree in Data Science or Mathematics

Knowledge

Min:

Must have detailed knowledge of:

• Solution and experimental design for model development

• Machine learning development and underlying theory and assumptions of techniques. 

• Predictive modelling techniques (statistical and machine learning) and deployment

• Source control systems e.g. Git, Bitbucket, or Sourcetree

• Relational database technologies

• Data Science lifecycle and applicable skills within

Ideal:

• Data analysis 

• Solution and experimental design

• Machine learning model architecture (technical design and implementation processes)

• Specialist in one or more specific machine learning competencies, e.g. NLP, Deep Learning etc.

Solid understanding of:

• Underlying theory and application of machine learning models, must be able to understand underlying principles and theory and be able to teach others. 

• Best practices for data science 

• Ethical AI design principles

• Capitec Data Science lifecycle 

• Capitec DPLC

Skills

• Numerical Reasoning skills

• Attention to Detail

• Communications Skills

• Computer Literacy (MS Word, MS Excel, MS Outlook)

• Problem solving skills

• Analytical Skills

Competencies

• Working with People

• Delivering Results and Meeting Customer Expectations

• Achieving Personal Work Goals and Objectives

• Adapting and Responding to Change

• Applying Expertise and Technology

• Analysing

• Learning and Researching

• Writing and Reporting

Conditions of Employment

• Clear criminal and credit record

• A valid driver's license and own vehicle is required

• Contactable via own mobile phone

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Purpose Statement

We are looking for motivated professionals to join our team of passionate, driven, supportive, industry-leading experts as a Senior Decision Scientist. This multifaceted role offers opportunities to influence business through data-driven decisions, combining technical expertise and quantitative modelling knowledge with enthusiastic stakeholder engagement. Capitec offers a dynamic and exciting work environment, encapsulated by a culture of teamwork and respect, managed by leaders that encourage professional development.

Decision Science is innovative and challenges traditional modelling approaches. As a Senior Decision Scientist, you’ll be responsible for the entire analytics lifecycle for retail credit modelling. Working in a collaborative environment, you will be part of the end-to-end model lifecycle that enables senior management to make informed data-driven decisions. The role drives agile business solutions through technical and predictive modelling. You’ll work alongside diverse professionals and engage with stakeholders and businesses.

Experience

● A strong background in analytics, predictive modelling and machine learning, project management methodologies, IT implementation cycle and the credit cycle
● Adept in understanding different operating systems, databases and programming languages
● A general business acumen combined with inventive thinking to identify how technical issues may impact solutions’ design and delivery
● Experienced in best practices and tools in credit risk
● Able to succinctly interpret user requirements and translate business requirements specifications
● Understand the retail credit industry, confidentiality and intellectual property implications and constraints
● Have an eye for detail and be skilled in numeracy, reasoning, analysis, reporting and commercial thinking
● Proficient in computer literacy (MS Word, MS Excel, MS Outlook), SAS, SQL, R and Python
● Reflect our commitment to respecting others and communicate effectively, manage interpersonal relationships and display leadership qualities
 

Qualifications (Minimum)

• Honours Degree in Data Science or Mathematics

Qualifications (Ideal or Preferred)

• Masters Degree in Data Science or Mathematics

Knowledge

● Experience in retail credit risk management must include extracting and aggregating data from large relational databases, data mining and predictive modelling

 

Skills

• SAS Skills

• SQL Skills

• R skills

• Python skills

Conditions of Employment

• Clear criminal and credit record