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Fraud Data & Strategy Analyst
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Fraud Data & Strategy Analyst
Department: Financial Services Analytics
Company: Proclink Consulting
Role: Fraud Data & Strategy Analyst
Key Competencies:
- Data Analytics (SQL, Python, R)
- Quantitative Fluency
- Pattern Recognition
- Automation Ops
- Model Interaction
Domain Knowledge:
- Performance measurement
- Feature extraction and basic model interaction
Ideal Background:
- 2–4 years as a data analyst in fraud, credit risk, or fintech
- Strong SQL and data visualization skills (Power BI / Tableau)
- Familiarity with fraud KPIs and reporting
- Experience supporting strategy and/or rule teams with data insights
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