Senior Specialist: M-pesa Fraud Analyst

2 weeks ago


Midrand, South Africa Vodafone Full time

**Role purpose**:
**Your responsibilities will include**:
Provide oversight and guidance to the markets in executing fraud detection and prevention strategies, with a specific focus on mobile money fraud activities in Vodacom IB markets.
Collaborate with local markets teams to analyze large volumes of transactional data, customer profiles, and behaviour to identify potential fraud cases related to mobile money fraud.
Support and mentor local markets analysts in developing and implementing advanced data analytics models, machine learning algorithms, and statistical techniques to detect patterns, anomalies, and fraudulent activities.
Conduct periodic reviews of the effectiveness of existing fraud control baselines, detection and prevention systems implemented by the local markets, providing recommendations for enhancements and/ or new approaches to improve accuracy and efficiency.
Assist local markets teams in conducting in-depth investigations of suspicious Mpesa transactions, identifying root causes, and recommending appropriate actions to mitigate fraud risks.
Stay updated on industry trends, emerging fraud schemes, and regulatory requirements related to mobile money fraud, and provide guidance to the local markets on adjusting fraud prevention strategies accordingly.
Collaborate with regional and global fraud management teams to align fraud oversight practices, share insights, best practices, and promote consistency in fraud prevention and detection approaches.

A three-year Degree or Diploma in Information Systems/ Business Analysis/ GSM / Mobile Money Forensic Analysis/ Data Science, Statistics, Computer Science is relevant.
Minimum of 5 years’ experience in the GSM or financial services industry, with a focus on mobile money operations or financial payment services.
Strong knowledge and understanding of fraud prevention and detection methodologies, techniques, and best practices in the financial services sector.
Proficiency in data analysis, statistical modelling, and machine learning algorithms using programming languages such as Python, R, or SAS.
Experience working with large datasets, data visualization tools, and data querying languages (SQL).
Excellent analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and actionable recommendations.
Strong communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
Knowledge of mobile money platforms, payment systems, and related technologies.
Professional certifications in data science, fraud analysis is highly desirable.
CFE accreditation and financial payments investigation experience will and added advantage

Closing date for Applications**:28 July 2023.**

The base location for this role is,** Midrand, Vodacom Campus.**

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organisational culture that recognises, appreciates and values diversity & inclusion.


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