
Data Analyst
2 days ago
Job Overview:
Fraud analytics plays a pivotal role in our risk management strategy. We are seeking an experienced data analyst to develop and implement fraud detection models, enhance our systems, and provide actionable insights from market intelligence.
Responsibilities:- Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns.
- Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives.
- Analyzing internal and external data sources to identify vulnerabilities and recommend proactive measures.
- Defining and tracking key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies.
- Staying updated on emerging fraud tactics, industry benchmarks, and regulatory changes.
- Providing actionable insights from market intelligence to inform strategic decision-making.
- Leading a high-performing team of data analysts, data scientists, and market intelligence specialists.
- Masters 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.
- Experience with market intelligence tools and competitive analysis.
- 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.
The ideal candidate will have strong analytical and problem-solving skills, excellent leadership and team-building abilities, and a strategic thinker with strong business acumen.
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