Job Purpose
The Fraud – Prevention assists the Head of Fraud – Detection and
Prevention in the implementation of fraud risk management strategies for the
Digital Financial Services, Equitel and Jenga payment gateway. The holder of
the position will assist the Head of Fraud – Detection and Prevention in
anticipating, identifying, assessing, and responding to emerging fraud risks.
The role will pinpoint opportunities for proactive fraud prevention across
services, products, and channels and platforms, collaborating closely with the
various Group Heads of Principal risks, Head of Investigations, to enforce the
fraud management framework, policies, and standards in the Finserve Africa
Limited operations.
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, analyzing 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
Qualifications
Required
Skills and Qualifications
- Minimum
education qualifications required – Bachelor’s degree in a Business or
Computing related discipline.
- Certification
in a fraud-related discipline, such as Certified Fraud Examiner (CFE) will
be added advantage.
- Strong
skills in identifying fraud indicators through data mining and analytics.
- Exceptional
interpersonal skills to communicate effectively with stakeholders and
manage expectations.
- Certification
in Digital forensics and/or incident response will be an added advantage.
- Knowledgeable
in identifying indicators of fraud through data mining and analysis
exercises.
- A
positive, learning-oriented attitude with a capacity for self-empowerment.
- Proficiency
in SQL and data manipulation.
- Excellent
communication skills, both verbal and written.
- Proven
hands-on fraud prevention experience in a financial environment for a
minimum period of 5 years.
- Able
to develop workflows for new and existing data.
- Highly
proficient in data analysis using multiple toolsets.
- Can
develop standard monitoring reports to monitor KPI performance.
- Able
to query/mine data from different sources using different scripting tools
e.g. SQL, Python etc.
- Able
to develop workflows for new and existing data.
- Uses
a variety of analytical tools to give insights and derive trends for given
fraud scenarios.
- Ability
to carry out second level analysis on emerging fraud trends.
- Highly
proficient in data analysis using multiple toolsets.
How to
Apply
