Advanced Fraud Detection and Typology Analyst
Jacksonville, United States
USD 105K-157K (estimate) Mid-level Full Time
Tasks
- Analyze devices accounts and networked entities
- Analyze transactions and customer behavior
- Apply clustering and segmentation
- Conduct trend analysis
- Create executive visualizations and narratives
- Detect anomalous patterns
- Develop and iterate hypotheses
- Evaluate new data elements and signals
- Identify emerging fraud typologies
- Perform exploratory data analysis
- Perform root-cause and driver analysis
- Support detection logic and control changes
- Translate insights into detection rules and models
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Cause analysis | Clustering | Data Analysis | Data Mining | Data Visualization | Exploratory Data Analysis | Fraud Detection | Hypothesis Testing | Model Risk Management | Model risk | Network Analysis | Python | Risk Management | Root Cause Analysis | Root cause | SAS | SQL | Segmentation | Trend analysis
Education
Roles
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