Manager: Insights and Analytics Fraud

About the role

Bidvest Bank is looking for an Insights and Analytics Manager to lead the development and delivery of data-driven insights that proactively detect, investigate and prevent fraud across the bank. The role combines advanced analytical techniques, fraud trend analysis and cross-functional collaboration to identify vulnerabilities, design strategic interventions and support decision-making, while keeping fraud risks low and complying with regulatory standards.

Key responsibilities

• Analyse transactional and behavioural data to detect emerging fraud patterns, trends and anomalies, and turn complex data into actionable insights and recommendations.
• Update and test fraud rules so their parameters match the false positive ratio versus fraud, and create fraud reports aligned with regulatory, legal and audit requirements.
• Develop systems and platforms in the Financial Crime Unit for analysing fraud trends, root causes and detection strategies, and support real-time alerting and case management systems.
• Monitor fraud detection systems against risk appetite, analyse fraud patterns across all fraud types, and carry out detailed root cause analysis of control and process failures.
• Manage third-party engagements and service providers, negotiate SLAs, and update process and procedure manuals.
• Support the design of fraud prevention and detection platforms, manage bin attacks and data extractions, and help build a regulatory-compliant culture on AML, CTF and sanctions.
• Lead learning and development for financial crime, and take ownership of personal career development.

Required profile

• Diploma in Analytics and Data Extraction or equivalent.
• Certified Fraud Examiner (CFE).
• At least 5 years of experience in a fraud department handling fraud and investigations.
• At least 5 years of experience in fraud insights and analytics.

Required skills

• Understanding of fraud types such as payment fraud, identity theft and account takeover, and of fraud prevention frameworks and regulatory obligations.
• Ability to interpret complex datasets and translate technical findings into clear business insights.
• Teamwork, problem-solving, attention to detail, confidentiality and data privacy.