Fraud Monitoring & Analytics Consultant

Responsibilities

Develop and implement advanced fraud detection models using machine learning and statistical techniques to proactively identify suspicious activities.

Analyze large datasets to uncover emerging fraud trends, patterns, and anomalies, providing actionable insights to mitigate risks.

Design and optimize real‑time fraud monitoring rules and alerts to minimize financial losses and enhance customer experience.

Collaborate with cross‑functional teams including IT, product development, and operations to integrate fraud prevention strategies into business processes.

• 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.

• SAS / SQL
• Tableau / Power BI
• Data Analysis & Visualization
• Fraud Strategy Development
• Credit Card & Payments Fraud Management
• Large Dataset Processing
• Risk Analytics & Reporting