Job Description

Roles & 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.

Desired Candidate Profile

• 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