Assistant Manager, System Fraud Analyst at NCBA Group

Job Purpose Statement

System Fraud Analyst role will execute the strategic fraud mitigation plan using continuous improvement principles to generation of Mis, identify fraud trends, complete fraud risk assessments, evaluate fraud management systems and implementation of systems controls

Key Accountabilities (Duties and Responsibilities)

Financial (20%) 

• Monitor systems activities to generate daily, weekly and/or monthly reports identifying trends and or potential fraud activities.
• Ensure management is appropriately informed of all fraud related activities and any significant concerns and provide appropriate mitigation plans.
• Contribute to the development and implementation of Fraud Risk Processes, Systems, Tools, Policies, Standards, and Procedures aimed at optimizing fraud detection and prevention to minimize fraud losses.
• Ensure BAU Operational cost containment

Internal Business processes 50%) 

• Lead projects involving fraud management systems implementation that includes developing fraud analysis models to deliver Management Information for fraud detection and prevention.
• Conduct business and technical studies, design, develop, integrate and implement business fraud management solutions
• Review processes and systems for purposes of strengthening internal controls through fraud risk assessment, exception reports reviews and Industry fraud trends and general intelligence reviews
• Contribute to the review of fraud risk assessments, scenario analysis and new product or change initiative assessments
• Support team members and the business in undertaking complex forensic data mining tasks
• Design and implement an effective fraud awareness programs across the business
• Undertake evaluation of the effectiveness of existing fraud risk management strategies, systems and processes and initiate relevant improvements
• Follow up with fraud Management system vendors to maintain the operation of the Fraud system
• Leading ad hoc project work to implement new systems, work processes, technologies and drive adoption of new initiatives.
• Recommend new fraud management tools used for fraud detection, prevention and reporting activities.
• Carry out reviews on all potential fraudulent activities with focus on root causes reviews and follow up on issues closure. Service

Management 15% 

• Oversee and coordinate technical activities, and ensure all transactional and administrative documentation is recorded and available for business use.
• Insightful and value adding controls monitoring Collaborate with Operational Risk Management team to develop and perform Key Risk Indicators reporting.
• Build network with internal and external stakeholders that includes law enforcement agencies, corporate investigators, audit firms, systems vendors among others.

Learning and Growth 15% 

• Undertake other responsibilities as may be assigned by management from time to time.
• Competence development by identifying and communicating training needs that aim to improve personal performance objectives
• Coordinate training to develop and maintain knowledge, skills and capability.
• Foster Team spirit and positive work environment

Ideal Job Specifications

Academic

• Undergraduate degree – minimum 2nd class honours upper division in Computer Science/Information Technology. Added advantage for a candidate with Dbase management and programing knowledge.
• Advanced knowledge in SQL, SAS, R, and Python will be added advantage.
• Exposure to and familiarity with different analytical techniques (Linear and Logistic Regression, Clustering Techniques, Neural Network, Decision Trees, etc.).
• Familiarity with wide array of fraud tools, applications and solutions (FICO, VISA, TSYS Falcon, VRM, CardGuard, Detica, Netguardian etc.)
• Good understanding of CAAT’s (Computer assisted auditing tools) will be an added advantage
• Proficiency in information technology and relevant Information Security Certification i.e. CISSP, CISA / CISM, ISO/IEC 27001 will be an added advantage

Desired Work Experience

• Minimum 3 years of modelling/analytics experience in financial industry.
• Knowledge of the banking core system applications
• Familiarity with wide array of Fraud Analysis tools, applications and solutions.
• Excellent communication (oral/writing) and presentation skills