Fraud Strategy

Role Overview

We are seeking a highly skilled Fraud Strategy professional with over 4 years of experience in fraud risk management within the banking or financial services domain. The ideal candidate will have hands-on experience in designing fraud detection strategies, creating fraud rules, and mitigating risks related to identity theft and transactional fraud across banking applications and platforms.

Key Responsibilities

• Develop, implement, and optimize fraud detection strategies across banking applications and digital platforms.
• Design and maintain fraud rules to detect suspicious activities, minimize false positives, and improve fraud capture rates.
• Analyze transactional and behavioral data to identify emerging fraud trends and recommend proactive controls.
• Work on identity theft prevention strategies, including account takeover, synthetic identity fraud, and application fraud.
• Collaborate with cross-functional teams including risk, product, compliance, and technology to enhance fraud prevention frameworks.
• Monitor performance of fraud rules and strategies using KPIs such as fraud rate, detection rate, and false positive rate.
• Conduct root cause analysis of fraud incidents and implement corrective/preventive measures.
• Support implementation and enhancement of fraud detection tools, systems, and decision engines.
• Stay updated on evolving fraud patterns, regulatory requirements, and industry best practices.

Required Skills & Qualifications

• 4+ years of experience in fraud strategy, fraud detection, or risk analytics in banking/financial services.
• Strong experience in creating and managing fraud rules in banking applications or fraud detection platforms.
• Hands-on experience in identity theft prevention (Account Takeover, Application Fraud, Synthetic Identity, etc.).
• Good understanding of digital banking channels (cards, online banking, mobile banking, payments).
• Experience with fraud tools/platforms (e.g., Falcon, SAS, Actimize, or similar).
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Proficiency in SQL, Excel, or data analysis tools.
• Understanding of regulatory and compliance frameworks related to fraud risk.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience in machine learning-based fraud detection models is a plus.
• Knowledge of AML/KYC processes and risk frameworks.
• Exposure to real-time fraud decisioning systems.