
Lead Fraud Data Analyst
20 hours ago
Fraud Data Analyst Lead
As a Fraud Data Analyst Lead, you will play a key role in developing predictive models to detect suspicious activities and patterns. You will work closely with risk management, compliance, IT, and other departments for alignment and effective communication.
The ideal candidate will have a strong analytical and problem-solving skillset, excellent leadership abilities, and a strategic thinker with strong business acumen.
Responsibilities:
- Develop predictive models to identify vulnerabilities and recommend proactive measures.
- Enhance fraud monitoring systems for improved detection accuracy and reduced false positives.
- Analyze internal and external data sources to stay updated on emerging fraud tactics and industry benchmarks.
- Provide actionable insights from market intelligence to inform strategic decision-making.
- Recruit, develop, and mentor a high-performing team of data analysts and market intelligence specialists.
Requirements:
- Master's degree in data science, statistics, economics, business administration, or a related field.
- 10+ years of experience in fraud analytics, risk management, or data analytics.
- Proven track record of developing and implementing fraud detection systems.
- Expertise in data analytics tools (e.g., Python, R, SQL, SAS).
- Familiarity with machine learning platforms and fraud detection software.
- Knowledge of industry-specific regulations and compliance standards.
Benefits:
- A competitive compensation package.
- A dynamic and collaborative work environment.
- Ongoing training and professional development opportunities.
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