Analyst: Fraud Data

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