Deputy Manager Risk Management DA

4 - 8 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview: As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities. Your responsibilities will include developing and refining fraud detection models, monitoring real-time transaction data for suspicious activities, analyzing fraud trends, collaborating with cross-functional teams, supporting fraud-related control projects, preparing fraud risk reports, ensuring regulatory compliance, and continuously improving fraud monitoring tools and techniques. Key Responsibilities: - Develop and refine fraud detection models using rule-based and data-driven approaches. - Monitor real-time transaction data for suspicious activity and provide recommendations for corrective action. - Assist in configuring fraud detection rules within the transaction monitoring system to ensure accuracy and minimal false positives. - Analyze fraud trends and transaction patterns to address potential vulnerabilities and emerging fraud schemes. - Collaborate with Risk, Compliance, and Product teams to align fraud risk mitigation strategies with business objectives. - Support fraud-related control projects, ensuring compliance with regulatory standards. - Prepare fraud risk reports for senior management, outlining key insights and recommendations. - Ensure regulatory requirements are met and assist in responding to fraud-related queries from authorities. - Continuously improve fraud monitoring tools and techniques to enhance accuracy and efficiency. - Participate in regulatory audits and assist in responding to fraud-related queries. Qualifications: - A bachelor's degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. - 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech industry. - Strong understanding of 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 with the ability to make data-driven decisions. - Excellent communication skills for presenting insights to technical and non-technical audiences. Additional Details of the Company: Join a team that encourages new challenges and making a meaningful difference. With over 500 million registered users and 21 million merchants, the company is committed to democratizing credit for deserving consumers and merchants. Be a part of India's largest digital lending story and contribute to bringing half a billion Indians into the mainstream economy.,

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