Analyst: Fraud Data - South Africa
Capitec Bank Holdings
Apply by: 25/03/2024 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 Purpose Statement Through analysis, aim to identify anomalies, and provide actionable recommendations that mitigate risk, reduce financial losses, and protect both customers and stakeholders from the impact of fraudulent behaviour. Extracting, analysing, and linking of data from multiple sources and systems to detect fraud trends that will influence strategy and the writing of expert fraud rules. Implementing and operationalising fraud mitigation and analysing the effectiveness thereof through dashboards and metrics. Experience Minimum: At least 3 years' experience within an analytical environment, including application of SQL, Power BI and advanced Excel functions. Ideal: 3 years' experience within a fraud/risk analytical environment, including application of SQL, Power BI and advanced Excel functions. Fraud analysis experience. Banking / financial services Qualifications (Minimum) A relevant tertiary qualification in Information Technology - Computer Science or Statistics Qualifications (Ideal or Preferred) Bachelor's Degree in Information Technology - Computer Science or Information Technology Knowledge Minimum: Proficiency in data analysis techniques and statistical methods to identify anomalies and patterns indicative of fraud. Knowledge of fraud detection methods, such as rule-based systems, anomaly detection, and predictive modelling. Strong knowledge of SQL for querying databases and extracting relevant data for analysis. A basic understanding of machine learning concepts and algorithms, including supervised and unsupervised learning. Familiarity with data visualization tools and techniques for creating informative dashboards and reports. Ability to identify and address complex fraud-related challenges and develop effective solutions. In-depth knowledge of query and scripting languages to extract, manipulate, and analyse large datasets, uncovering hidden patterns and anomalies indicative of fraudulent behaviour. Develop advanced predictive models that can adapt to evolving fraud tactics. Ideal: Understanding and knowledge of: Forensics (fraud) Internal MIS data base tables/table structures AWS Capitec Bank products Proficiency in a scripting language (e.g., Python) for data manipulation, scripting, and model development. Skills Analytical Skills Numerical Reasoning skills Planning, organising and coordination skills Problem solving skills Attention to Detail Conditions of Employment Clear criminal and credit record Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
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