Decision Scientist II

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.

About the Role

This position within Capitec Connect requires a skilled individual with a keen analytical mindset, strong communication abilities, and a genuine enthusiasm for deriving insights from data. The incumbent of this role will collaborate extensively with cross-functional teams to scrutinize client data, construct predictive models, and offer actionable suggestions to bolster client retention, capitalize on cross-sell opportunities, and amplify overall client lifetime value. Responsibilities include analysing extensive datasets to pinpoint trends and patterns, crafting and sustaining dashboards and reports for tracking key performance metrics, partnering with stakeholders to comprehend business needs and devise analytical solutions, creating predictive models and segmentation strategies to identify valuable client segments and potential churn risks, conducting ad-hoc analyses to support strategic decision-making, and continuously evaluating the efficacy of client value management initiatives to propose optimization strategies grounded in data insights. It's essential to remain abreast of industry trends, best practices, and emerging technologies within the realms of data analytics and telecommunications to excel in this role.

Our Ideal Candidate

Qualification 

Relevant B Degree, plus 5 years related experience. 

Minimum Experience

• Customer value management exposure
• Experience with data manipulation, exploration and visualization for example Power BI, SQL etc.
• 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 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.
• Functional business area (e.g. Telecommunications) environment knowledge and experience. 

Minimum 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).
• 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.

Minimum Skills

• Statistical model development incl. traditional scoring (logistic regression with binning and missing value replacement e.g. reject inference), and quantitative analysis (time value of money etc.)
• Data manipulation, exploration, and visualization for example Power BI, SQL etc.
• Capability to identify, define and solve the business problem i.e. application of domain 'know-how' and problem solving. 
• Ability to productionise and solution design

Additional Information