Apply by: 26/08/2024 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: To see what life at Capitec is all about and complete a short assessment, please click here!. 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 building 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. 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 (e.g., Power BI, SQL). Experience in statistical (predictive and classification) model development and deployment, including 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, including 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, including 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 (e.g., Power BI, SQL). Capability to identify, define, and solve business problems (i.e., application of domain 'know-how' and problem solving). Ability to productionise and solution design. Additional Information: 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. For further information regarding this job posting, please contact the Capitec Talent Acquisition Specialist: Bontle Shumang
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