Tactical Fraud: Data Analyst (Life Insurance) - Randburg at Absa Group Limited (Absa)

KEY RESPONSIBILITIES

The high-level duties of the role:

Accountability: Tactical Anti-Fraud Data Analytics

• Exploration of business data to build a detailed and critical understanding of system behavior and key data variables underlying within business systems for purposes of building effective anti-fraud analytics
• Coding and ongoing execution of tactical anti-fraud analytics to drive identification of known fraudulent modus operandi for case referral to business investigative teams (SIU)
• Coding and ongoing exploration of data utilizing anti-fraud methods to identify emerging or new patterns of potential fraudulent modus operandi
• Collaboration with business investigative teams (SIU) to absorb emerging modus operandi from cases investigated into tactical analytic approaches.
• Collaboration with Strategic fraud analysts to input lessons learned into rules and models housed within strategic fraud systems
• An ongoing exploration of the application of industry data (Crime Bureau etc.) for use in tactical analytics to bolster the identification of fraud.
• An ongoing exploration of additional intelligence sources to bolster the identification of fraud within tactical analytics
• Ensure procedure alignment with testing and deployment of scripts/rules to ensure that rules are implemented correctly
• Use optimal coding methodologies to ensure speed of execution in querying large data sets (across data sets)
• Ensure sufficient space is available for new rules by ensuring that redundant and non-performing rules are removed from the rule engine.
• Improve rule/script performance by examining reports to identify anomalies and applying tactical and strategic rule changes to ensure that all targets are improving with the agreed stats being maintained within acceptable levels (FPR, preventions figures, customer impact, ADR, VDR, manual alerts etc.).
• Examine undetected fraud by optimizing current rules or find new rules to cater for new fraud trends.
• Run validity of rule firings to identify accuracy from rule logic.

Accountability: Governance and Reporting

• Archive rule changes by ensuring that all information regarding the rule changes has been saved centrally for easy retrieval including approvals for rule changes, peer review confirmations, and updated rule logs.
• Ensure that all processes executed or distributed daily/weekly/monthly are documented, up to date, and accessible by all peers.
• Produce and analyze monthly MI, and provide insightful commentary to support the data.
• Produce ad-hoc analysis reports on specific fraud-related issues.
• Create new reports that will assist with Fraud analytics strategic goals.
• Ensure that all reports are updated and sent to stakeholders timeously.

Accountability:  Relationship Management

• Work together with cross-functional teams.
• Liaise regularly with relevant stakeholders.
• Liaise with operational areas.
• Timely escalation of potential issues to relevant stakeholders.

Education and Minimum Requirements:

• B-degree in Mathematics or Statistics or Risk Management or Forensic Investigation or equivalent NQF level 7 qualification
• At least 3 - 5 years’ experience in data analysis, utilizing standard statistical packages such as SAS.
• At least 3 years’ experience in SAS Advanced programming for statistical analysis and manipulation of very large data sets.
• Advanced computer literacy especially the Microsoft Office suite of programs (MS Word, MS Excel, MS PowerPoint) (1+ years).
• Experience in Forensic investigative analytics (life insurance/insurance space specifically) is critical
• Forensic certifications such as ICFP or ACFE will be an advantage