Job Purpose
The Head of
Fraud – Prevention and Detection is
entrusted with the crucial responsibility of upholding the integrity and
reputation of the Equity Group. This senior-level position demands
advanced knowledge in fraud risk management, coupled with a deep
understanding of Digital Financial Services, Equitel and Jenga payment
gateway. The Head of Fraud – Prevention and Detection will report to the
Group Director for Security and Fraud Management in leading
the implementation of fraud risk management strategies for the
Digital Financial Services. The holder of the position will help the
business in anticipating, identifying, assessing, and responding to
emerging fraud risks.
The Head
of Fraud – Prevention and Detection will pinpoint opportunities for proactive
fraud prevention and detection across services, products, and channels and
platforms, collaborating closely with the Head of Risk for Finserve and
various Group Heads of principle risks, Head of Investigations, to enforce
the fraud management framework, policies, and standards in the Digital
Financial Services Operation .
Job Responsibilities/ Accountabilities
- Assist the Group Director Security and Fraud
Management to formulate comprehensive fraud risk management strategies for
Finserve Africa Limited which are aligned with the Group’s Enterprise risk
management framework and fraud policy.
- Provide expert advice to the business on fraud
risk management, controls, and initiatives in line with business strategy,
enterprise risk, and fraud management policies and framework.
- Monitor Key Performance Indicators (KPIs) for
fraud risk, analysing trends and their impact on the business, while
measuring the effectiveness of fraud prevention and detection
controls.
- Review first-line’s fraud risk assessments for
both existing and new products and services while ensuring anti-fraud
controls are evaluated as part of Risk & Control Self
Assessments.
- Conduct fraud risk assessments for high-risk
businesses, products, processes, and systems to identify emerging fraud
trends, vulnerabilities, and areas for improvement.
- Ensure a clear understanding, evaluation, and
agreement on inherent and residual fraud risks, including their
likelihood, impact, and ratings with respective subsidiary risk
heads.
- Analyze business processes to identify control
failures/weaknesses and/or procedure breaks related to fraud risk events,
including an evaluation of the performance of fraud risk controls, tools,
and data usage across all business units and channels.
- Implementation of the monitoring system to
detect and report suspicious activity related to financial crimes and
ensuring timely reporting to the Regulators as required.
- Prepare comprehensive management and board
reports on fraud risk exposure, incidents, and mitigation efforts to
senior management and relevant board committees.
- Respond to inquiries from business units
regarding fraud risk management issues.
- Collect and analyze fraud data and insights for
use in fraud prevention and detection.
- Curate and disseminate industry best practices
related to fraud risk management.
- Develop relevant anti-fraud materials for
internal training and customer fraud awareness.
- Instil a robust fraud risk awareness culture
within the organization, fortifying the Group’s values and code of
conduct.
- Support the strategic direction of the
enterprise databases & data and influence how the team will evolve
over time, including long-range project planning, staffing, and technical
architecture
Qualifications
- Bachelor’s degree in fields such as: Computer
Science, Data Science, Information Security, Finance/Accounting,
Telecommunications Engineering
- Master’s degree is a plus (e.g., in Risk
Management, Data Analytics, or Cybersecurity)
- Fraud & Risk Certifications will be an added
advantage.
- CFE (Certified Fraud Examiner) – Global standard
for fraud professionals (by ACFE) or Certificates in Cyber security. e.g.
CEH (Certified Ethical Hacker) – Helps in proactive fraud/threat
modelling.
- Deep knowledge n SQL and data base management
technologies
- Google Cloud or AWS Machine Learning
Certifications/Data analytics and science certificate course from
recognized institution
- Microsoft Certified: Data Analyst
Associate
- Practical experience in fraud analytics tools
(e.g., Tableau, Power BI, Python notebooks
- 8+ years of progressive experience in Fraud risk
management in both telecom and banking with hands on experience in Digital
financial fraud and banking fraud
- Leading fraud analytics, prevention,
investigations, and recovery teams.
- Experience with real-time fraud detection
platforms,
- Proven experience in implementing enterprise
fraud management systems.
- Solid understanding of mobile money fraud
schemes, social engineering, SIM swap, account takeover.
- Familiar with SQL, Python/R, machine learning
(for fraud detection).
- Experience with fraud scoring models, anomaly
detection, and Customer 360 profiling.
- Knowledge of APIs, system integrations, and
secure architectures for fraud controls.
- Capable of working cross-functionally with risk,
compliance, product, and tech teams.
- Excellent understanding of the regulatory
landscape (e.g., CBK, FATF guidelines, AML/CFT rules)
How to Apply
