Director, Data and Analytics Engineer
USD 140K-165K Executive-level Full Time
Tasks
- Analyze data with statistical methods
- Build rule engine rules
- Combine internal data and external intelligence
- Communicate trends findings and proposals
- Conduct pre and post production testing
- Create analytical and forecasting solutions
- Create fraud detection controls
- Create fraud strategy for product launches
- Define risk thresholds
- Detect money movement transactions
- Develop fraud risk models
- Generate business reports
- Generate risk management reports
- Generate suspicious activity reports
- Identify fraud trends
- Investigate suspicious behavior
- Measure performance with tools
- Recommend fraud detection tools
- Recommend fraud prevention tools
Perks/Benefits
Skills/Tech-stack
AUC | Apache Spark | Cause analysis | Decile Plots | Fraud Detection | Fraud Rule Engine | Fraud risk | Fraud risk management | FraudNet | Gain Charts | Hadoop | KS Statistic | Key Risk Indicators | Microsoft Excel | Model Monitoring | Payment Systems | PySpark | Python | ROC Curve | Retail lending | Risk Management | Risk indicators | Root Cause Analysis | Root cause | Rule Engine | SAS | SQL | Shell Scripting | Tableau | Third Party | Third Party Fraud Scores | Transaction monitoring
Education
N/A
Regions
Countries
States
Cities
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