Fraud Monitoring & Analytics Consultant
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Key skills for this role
About the Role
DICETEK LLC seeks a Fraud Monitoring & Analytics Consultant with 5+ years of experience in fraud analytics, risk analytics, or financial crime analytics. The role requires advanced proficiency in SAS and SQL, experience with fraud detection systems, and knowledge of card authorization flows.
Key Skills for This Role
Responsibilities
- Perform fraud analytics and risk analytics to detect and prevent financial crime
- Develop and maintain fraud detection rules and risk scoring models
- Analyze large scale transactional datasets to identify fraud patterns
- Create executive level reports and dashboards using Tableau or Power BI
Requirements
- 5+ years of experience in Fraud Analytics, Risk Analytics, or Financial Crime Analytics
- Strong understanding of credit card, debit card, and payments fraud ecosystems
- Extensive experience working with large scale datasets and transactional data
- Advanced proficiency in SAS and SQL for data extraction, transformation, and analysis
- Experience with fraud detection systems, risk scoring, and rule based decisioning platforms
- Strong knowledge of card authorization flows, transaction processing, and payment networks
- Experience developing executive level reporting and dashboards using Tableau and/or Power BI
- Strong analytical, problem solving, and communication skills
Full Job Posting
Requirements
- 5+ years of experience in Fraud Analytics, Risk Analytics, or Financial Crime Analytics.
- Strong understanding of credit card, debit card, and payments fraud ecosystems.
- Extensive experience working with large scale datasets and transactional data.
- Advanced proficiency in SAS and SQL for data extraction, transformation, and analysis.
- Experience with fraud detection systems, risk scoring, and rule based decisioning platforms.
- Strong knowledge of card authorization flows, transaction processing, and payment networks.
- Experience developing executive level reporting and dashboards using Tableau and/or Power BI.
- Strong analytical, problem solving, and communication skills.
- Experience with fraud platforms such as Falcon, VRM, Actimize, or similar fraud management solutions.
- Knowledge of machine learning and predictive modelling techniques.
Technical Skills
- SAS / SQL
- Tableau / Power BI
- Data Analysis & Visualization
- Fraud Strategy Development
- Credit Card & Payments Fraud Management
- Large Dataset Processing
- Risk Analytics & Reporting
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