Unit Head of Fraud System Analyst

Key Responsibilities

1. Fraud Analytics & Prevention

- Analyze large datasets to identify fraud patterns, anomalies, and potential risk indicators.

- Develop fraud triggers, rules, scores, and prevention strategies for products, services, and customer segments.

- Monitor fraud trends and evaluate the effectiveness of fraud prevention measures.

- Recommend data-driven solutions to minimize fraud risks and potential losses.

2. Fraud Detection & Early Warning System

- Lead the development and enhancement of fraud detection and Early Warning System (EWS) capabilities.

- Act as the business/Product Owner for fraud detection-related initiatives, working with Data, Technology, Risk, and relevant business teams.

- Define requirements, detection logic, alert mechanisms, and performance criteria.

- Continuously optimize fraud rules, warning signals, and detection mechanisms based on actual fraud patterns and business needs.

3. Fraud Monitoring & Reporting

- Develop and maintain fraud KPIs, dashboards, and management reports covering fraud trends, rule effectiveness, and alert outcomes.

- Provide actionable insights and recommendations to support management decision-making.

- Manage and maintain the Blacklist and other preventive measures in accordance with company policies and regulations.

4. Team Leadership

- Lead, manage, and develop the Fraud Analytics team.

- Set team objectives, allocate resources, monitor performance, and ensure KPI achievement and compliance.

- Coach team members and build a data-driven, proactive, and high-performance team.

- Bachelor’s degree or above in Data Science, Statistics, Computer Science, Information Technology, Finance, Banking, Risk Management, or a related field.- Minimum 3 years of experience in fraud prevention, fraud analytics, risk analytics, or related fields, preferably in Banking, Consumer Finance, Fintech, or Financial Services.- At least 6 months of team management experience.- Good understanding of fraud detection systems, tools, and technologies.- Knowledge of fraud trends, detection methods, and industry best practices.- Strong understanding of financial and banking products and services.- Strong analytical and quantitative thinking. Strong data analytics capabilities with hands-on experience in: SQL | Python | Power BI .- Logical and structured problem-solving skills.- Strong ownership and results orientation.- Good planning, organization, and decision-making skills.- Strong people management and development capabilities.- Good English communication skills; TOEIC 500+ or equivalent is preferred.

Be covered by a comprehensive health insurance plan for you and your family.

Nghỉ phép có lương

Enjoy competitive annual leave (up to 15 days/year), plus 01 fully paid birthday leave

Participate in structured leadership development programs designed for managers.

Contribute to and mentor future leaders, playing a key role in developing the next generation of talent.