Forensic Data Analyst at Telesure Investment Holdings (TIH)

Introduction
Extract quantifiable insights from past trends and current conditions. Transform data into knowledge to detect and investigate fraudulent and unethical activities.

Specification
Advanced and Predictive Analytics

• Support interpretation of advanced and predictive analytics data, using specialized software tools and functionalities; develop fraud models, design system alerts for potentially fraudulent activity, perform data mining and statistical analysis, investigate behavioural patterns that could assist in the identification of fraud.

Fraud Management

• Analyze and track suspected fraud trends and parameters, identifying and reporting any security threats or suspicious activity to more senior colleagues. Also provide recommendations for loss mitigation. Extract, verify, analyse and investigate transactions from multiple systems as well as input from external sources to identify potential fraudulent trends and suspicious activities.

Data Exploration

• Work independently to collate and analyze data using predetermined tools, methods, and formats to create standard insights. Perform analysis on available internal and external data sources in order to refine current exception rule sets.

Data Management

• Help others get the most out of data management systems by providing support and advice. Develop and recommend fraud rules and strategies across technology platforms.

Performance Management

• Respond to personal objectives and use performance management systems to improve personal performance.

Insights and Reporting

• Prepare and coordinate the completion of various data and analytics reports. Report on the results generated by proactive data analytics. Develop and prepare management reports.

Business Requirements Identification

• Support collection of business requirements using a variety of methods such as data analytics, interviews, document analysis, and workflow analysis to express requirements clearly and succinctly.

Performance Improvement through Business Intelligence

• Create basic machine learning algorithms and support creation of more complex algorithms that identify patterns in structured data. Partner with different business stakeholders and internal clients to ensure the collection of data in accordance with model standards.

Organizational Capability Building

• Provide coaching to team members to develop their skills.

Stakeholder Engagement

• Assist with stakeholder engagement by arranging actions, meetings, events, and supporting materials to promote stakeholder understanding and commitment.

Requirements

General Education

• BCom/Bsc or specialised training/certifications at University level statistics, programming, analytics and business management (Essential)

General Experience

• 2-4 years experience in Business Analysis (Essential);
• Experience in Forensic Audit or Analysis (Essential);
• Experience in Insurance Industry (Advantageous)
• SAQA Accredited Equivalent -It is the onus of the applicant to provide TIH and its subsidiaries with certified evidence that their qualification(s) meet the equivalent NQF level required for this role at time of application.

Closing date: 05/03/2020