Capitec – Risk Management

Share this post on

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

Data Scientist II

Date: 27 Aug 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.

Purpose Statement

To deliver the AI strategy to ensure Capitec can compete in a changing landscape where data science is a key future-oriented strategic differentiator.
To design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making.

Education (Minimum)

Honours Degree in Data Science

Education (Ideal or Preferred)

Masters Degree in Data Science or Statistics

Knowledge and Experience

Experience

Minimum:
NB. Length of experience required is conditional on the qualifications obtained

Master’s degree or equivalent in a quantitative discipline or STEM field e.g., Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning plus 3yrs relevant years’ experience.
Or
Honours Degree or equivalent and relevant technical qualifications, plus 5yrs relevant experience.
Experience in data science, machine learning and deployment of developed solutions
Business analysis and requirements gathering
Reproducible coding experience
Working with relational and non-relational databases
Experience in at least one ML language
Working in cloud environments

Ideal:

Working with multiple teams to deliver predictive models into a production environment

Knowledge

Minimum:

Deep understanding of one or more state of the art principles and techniques in at least one discipline of data science, e.g., NLP, Deep Learning etc. and can teach to others
Underlying theory and application of machine learning models; able to understand underlying principles and theory and be able to teach others.
Best practices for data science such as reusability, reproducibility, continuous monitoring, etc

Ideal:

Familiarity with modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc)
Ethical AI design principle
Capitec Data Science lifecycle
Capitec Data Product Life Cycle

Skills

Analytical Skills
Attention to Detail
Communications Skills
Problem solving skills
Planning, organising and coordination skills
Decision making skills
Interpersonal & Relationship management Skills

Additional Information

Clear criminal and credit record

Specialist: Credit Fraud Prevention

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 appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

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

To utilise and apply fraud prevention expertise to minimise and mitigate against the main fraud risks impacting Capitec and clients; credit application fraud and insider threat, thereby reducing financial crime loss to Capitec Bank and its clients.

Experience and Knowledge

Experience:

4 – 5 years relevant and proven experience in fraud prevention and detection design and/or development
Knowledge of credit systems and products
SQL programming experience required

Knowledge:

Credit granting models and systems, with a focus on the fraud controls within the credit granting processes and rules engine
Credit sales channels, including branch, Direct Loans and App
Credit products, with a focus on Term Loans and the main drivers of capout
Credit fraud, with a focus on application fraud. Detailed understanding of the common modus operandi and best practise controls
Key control environments within the high internal threat environments
Knowledge of various types of internal threats and application fraud schemes including employee misconduct, data breaches, identity theft, account takeover
Proficiency in fraud detection methods, tools, and technologies used to identify suspicious activities and patterns
Ability to assess fraud risks within applications, systems, and processes and develop effective mitigation strategies to prevent and detect fraudulent activities
Strong interpersonal skills and the ability to collaborate with cross-functional teams
Proficiency in data analysis techniques should be desirable

Qualifications

A relevant tertiary qualification in Finance, Economics, Accounting or similar
A relevant post-graduate qualification in Finance, Economics, Accounting or similar would be ideal