
Data Fraud Risk Specialist
1 day ago
Key Responsibilities:
- Develop predictive models to identify suspicious activities and patterns;
- Optimize fraud monitoring systems for improved detection accuracy;
- Analyze internal and external data sources to identify vulnerabilities;
- Define and track key performance indicators (KPIs) to measure fraud detection strategies.
Staying Up-to-Date on Emerging Trends:
- Monitor industry trends and competitor activity to identify opportunities for improvement;
- Provide actionable insights from market intelligence to inform strategic decision-making;
- Analyze competitors' risk management strategies to identify areas for improvement.
Building a High-Performing Team:
- Recruit, develop, and mentor a high-performing team of data analysts and specialists;
- Collaborate with risk management, compliance, IT, and other departments to ensure alignment and effective communication.
Qualifications:
- A Master's degree in data science, statistics, economics, or business administration;
- At least 10 years of experience in fraud analytics, risk management, or data analytics;
- A proven track record of developing and implementing fraud detection systems.
Technical Skills:
- Expertise in data analytics tools such as Python, R, SQL, and SAS;
- Familiarity with machine learning platforms and fraud detection software;
- Knowledge of industry-specific regulations and compliance standards.
Key Competencies:
- Strong analytical and problem-solving skills;
- Excellent leadership and team-building abilities;
- Strategic thinking and strong business acumen;
- Effective communication skills to convey complex data insights.
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