Deputy Manager Risk Management

As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities within the organization. You will be responsible for developing and maintaining fraud detection models, setting up rules, and supporting control-related initiatives. Collaboration with Risk ops, Product, and Engineering teams is essential to ensure effective and scalable risk controls. Your key responsibilities will include: - Developing and enhancing fraud detection models using rule-based and data-driven approaches. - Monitoring real-time transaction data for suspicious activity, highlighting concerns, and suggesting corrective actions. - Configuring fraud detection rules within the transaction monitoring system to ensure accuracy and reduce false positives. - Analyzing fraud trends and transaction patterns to proactively address vulnerabilities and emerging fraud schemes. - Coordinating with cross-functional teams to align fraud risk mitigation strategies with business goals. - Supporting fraud-related control projects, ensuring compliance with regulatory standards and internal risk frameworks. - Preparing fraud risk reports for senior management, providing insights, trends, and actionable recommendations. - Working closely with the Senior Manager to meet regulatory requirements and improve fraud monitoring tools and techniques. - Participating in regulatory audits and assisting with responses to fraud-related queries from authorities. Qualifications: - Bachelor's degree in Data Analytics, Statistics, Risk Management, or related field preferred. - 4-8 years of experience in fraud analytics, risk management, or similar roles within the fintech industry. - Proficiency in fraud detection techniques, including rule-based systems and data-driven models. - Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. - Strong analytical and problem-solving skills to identify trends and make data-driven decisions. - Excellent communication skills to convey insights clearly to technical and non-technical audiences. Preferred Skills: - Knowledge of machine learning models for fraud detection. - Experience with fraud detection systems in the fintech sector, especially in a licensed TPAP setup. - Familiarity with compliance and audit requirements in regulated financial environments. Join us in our mission to bring half a billion Indians into the mainstream economy. Our success is driven by the collective energy and customer focus of our team. We are committed to democratizing credit for deserving consumers and merchants. Embrace the opportunity to be part of India's largest digital lending story.,