Fraud Data Analyst

Fraud Analytics

1. Develop Fraud Detection Models : Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.

2. Enhance Systems : Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives.

3. Data-Driven Insights : Analyze internal and external data sources to identify vulnerabilities and recommend proactive measures.

4. Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.

Market Intelligence

1. Industry Monitoring : Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes.

2. Competitor Analysis : Analyze competitors’ risk management strategies to identify opportunities for improvement.

3. Market Trends : Provide actionable insights from market intelligence to inform strategic decision-making.

Team Leadership

1. Build and Lead : Recruit, develop, and mentor a high-performing team of data analysts, data scientists, and market intelligence specialists.

2. Stakeholder Collaboration : Work closely with risk management, compliance, IT, and other departments to ensure alignment and effective communication.

Qualifications

Education

• Master’s degree in data science, Statistics, Economics, Business Administration, or a related field.

Experience

Technical Skills

Key Competencies