Forensics Data Analyst at Britam

Job Purpose:

• Data Analytics Analyst is responsible for monitoring transactions, accounting paperwork, and operation activities with an aim of identifying and detecting any suspicious and/or fraudulent transactions and activities within the organization. 

Key responsibilities:

• Development and automation of exception reports for integral business processes within the organization.
• Identify suspicious patterns and trends through the monitoring of transactions and review of exception reports.
• Provide support to the Operational and Business units of the organization on tracking key business performance and risk indicators through data analytics and visualization.
• Perform relevant analytical techniques required to detect occurrence of fraud and maintain a library of analytical tests.
• Gather intelligence from relevant sources regarding the fraud trends in the industry and known fraudsters.
• Continuously scan transactions to establish whether the fraud trends discovered and the fraudsters have gain a foothold in Britam.
• Maintain a black list data based on intelligence gathered from external sources and the investigations we have conducted.
• Compile known fraud red flags and research on more that would be applicable in the various areas of operations in Britam.
• Establish data sources required to test for indicators of fraud.
• Perform relevant analytical techniques required to detect occurrence of fraud and maintain a library of analytical tests.
• Recommend improvements in the data that is captured to aid in fraud prevention.
• Support forensic investigations into cases of suspected fraud through data analytics.
• Conduct fraud awareness campaigns for the group.
• Updating fraud database and preparing monthly statistical reports.
• Delegated Authority: As per the approved Delegated Authority Matrix.

Key Performance Measures:

• As described in the role’s Personal Scorecard.

Knowledge, experience and qualifications required

• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management or Statistics or any relevant field.
• 2-6 years proven working experience as a Data Analyst or Business Data Analyst.
• Certification in Data science or Data analytics tools such as Caseware IDEA, Alteryx, Qlik Sense.
• CPA (K) /CFA, CFE is an added advantage.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks).

Technical/ Functional competencies:

• Knowledge of insurance regulatory requirements.
• Knowledge of insurance products.

Leadership category responsibility framework (Core Competencies).
Emerging Leaders in Britam need to:

• Plan, direct and apply efficiencies and resources in order to optimize output and profitability against time, cost and team targets.
• Effectively communicate strategic and operational departmental goals and objectives to peers and others in order to ensure proper implementation.
• Ensure that department priorities are adhered to and effectively communicated.
• Ensure competent and effective people resources through appropriate coaching, development and people supervision as appropriate.
• Embody a high performance, proactive culture.
• Effectively ensure the adherence to key performance areas, deadlines and goals in order to optimise operational effectiveness.
• Effectively communicate resource needs, possible opportunities and achievements to management in order to aid them in their decision-making.
• Effectively set and monitor priorities and objectives for more junior staff.
• Understand and communicate objectives in relation to the larger organisational impact.
• Effectively disseminate knowledge within the correct context, towards subordinates as well as management.
• Appropriately model the company values while setting the pace and energy for delivering.
• Effectively manage and communicate change within the department in order to increase staff and process effectiveness.
• Provide access to accurate and consistent information and services across all channels. 
• Ensure a seamless experience for clients.
• Improve service delivery for clients.
• Engage in continuous brand building to become the trusted partners to clients.

Unposting Date: 03-07-2023