Specialist - Fraud & Forensics
Uganda
MTN
MTN is Africa’s largest mobile network operator, sharing the benefits of a modern connected life with 272m customers in 19 markets across Africa and Middle EastJob Title: Specialist – Fraud & Forensics
Reporting to: Head – Risk & Compliance
Division – Strategy & Stakeholder Management
Mission/ Core purpose of the Job
The main purpose of the job is to implement MTN Mobile Money (U) Limited’s fraud risk management strategy and methodology covering aspects of Fraud risk governance, prevention, detection, investigation, and response across the company’s business operations.
Main Job Functions:
- Proactive Fraud risk management
- Oversight of fraud detection and prevention controls performed by 1st line business functions to ensure effectiveness and adequacy.
- Fraud risk assessments to test the effectiveness of existing controls and to implement improvements with respective business risk owners.
- Managing fraud risk escalations by the monitoring team and the customer facing teams through contacting deeper investigations/analysis and implementing corrective actions.
- Maintenance of an up-to-date Fraud risk register covering all fraud risks.
- Use of analytics and business intelligence to drive implementation of risk-based limits.
- Coordinating monthly fraud steerco engagements with cross functional teams in Fintech and GSM to drive improvements arising from investigations.
- Liaison with assurance functions including transaction monitoring, Internal controls, Internal Audit, revenue assurance to continuously improve internal controls.
- Implementing fraud training and awareness programs covering all staff, Agents, Partners and, the public in partnership with Regulators and industry players.
- Active collaboration with key industry stakeholders to manage financial crime. This will include information sharing with Regulators, Industry players and Security agencies.
- Reactive Fraud risk management
- Managing the whistleblower functionality.
- Managing investigations around sensitive fraud, theft and corruption cases relating to internal staff. The role will also review escalations relating to significant consumer, partner, and agent fraud.
- Ensuring confidentially and independence during investigations.
- Coordinating with the security function and law enforcement agencies during fraud investigations.
- Performing the task of an expert witness in disciplinary and criminal matters.
Key Performance Areas: Core, essential responsibilities / outputs of the position (KPA's)
- Successful execution of Fraud Risk Management strategy/methodology
- Effective oversight of implementation of the BOU cyber security guidelines.
- Stakeholder engagement (Internal and external)
- Timely reporting to support decision making.
Education:
- Bachelor’s degree in business management, Information technology/ Systems, Computer science, Computer/ electronic engineering, or related risk management fields.
- Certifications or qualifications/membership of relevant bodies e.g., ACAMS or CFE is an added advantage.
- Good understanding of fraud and forensics, revenue assurance, risk management or internal controls.
- Practical/demonstrable knowledge and skills in big data analytics is essential.
- Good understanding of the relevant laws and regulations.
Experience:
- The Candidate should have a minimum of 3 years relevant experience in a business environment handling forensics and fraud investigations, revenue assurance, risk management or internal controls.
- Previous experience working with large datasets using data analytical tools like; ACL, SQL, Power BI, SAS, Advanced Excel, or Python is essential.
Other Pertinent Information
- Decisive problem solver, best practice creator
- Culture and Change Champion, Relationship builder, Fast Learner.
- Result oriented, operationally astute.
- Confidence to raise challenging questions and concerns when necessary.
- Able to work for extended hours depending on emerging incidents.
Interested candidates should apply NOT later than Tuesday 30th April 2024.
NB: Presentation of false academic documents and certification will lead to criminal prosecution. Any form of canvassing will lead to automatic disqualification. Should you not hear from us within fourteen (14) days from the closing date of this advertisement, you may consider your application to be unsuccessful.
Female candidates are strongly encouraged to apply.
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
Tags: Analytics Big Data Business Intelligence Compliance Computer Science Data Analytics FinTech Forensics Governance Monitoring Python Risk assessment Risk management SQL Strategy
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