Tactical Fraud: Data Analyst

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- With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.Job Summary

This role is within RBB Fraud Strategy, reporting into the RBB Fraud Strategy Manager: Insurance, Investments and Wealth Management.

BRIEF OVERVIEW OF THE ROLE:
An exciting new role that focuses on tactical and investigative fraud data analytics in the Life insurance (long term insurance) space. This specialist role allows a colleague to collaborate with Special investigative units and to work with a multi-disciplinary team in both business and Fraud Strategy. The role will allow a colleague to Implement monitoring approaches to combat ever changing fraud modus operandi in the insurance landscape whilst driving innovation in the development of new monitoring techniques in the fight against fraud

**Job Description**:
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 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.-
- 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

Knowledge and skills:
- SAS Programming- SQL Programming- Problem Solving- Microsoft Office- Communication - verbal & written

Competencies:
- Deciding and initiating action- Dedicated and committed- Relating and networking- Adapting and responding to change- Customer centric- Creating and innovating- Accountability- Results driven

Education

Bachelor's Degrees and Advanced Diplomas: Business, Commerce and Management Studies (required)
- Absa Bank Limited reserves the right not to make an appointment to the post as advertised_