AVP - Fraud Risk Manager

Job Description

Note - Diversity (Female candidates only) Job Description: Define and manage large-scale fraud prevention initiatives from scoping to implementation and continuous improvement. Set up mechanisms to track performance metrics, identify trends, and define mitigation plans as required Lead and mentor a team of fraud risk management professionals, fostering a collaborative, high-performance culture. Communicate effectively with executive-level stakeholders, regulatory bodies, and external partners Build and maintain strong partner relationships to support fraud management initiatives Oversee timely and accurate submission of regulatory returns pertaining to fraud and data to RBI and other authorities. Maintain oversight of regulatory and internal reporting, ensuring risk-related MIS and risk metrics are updated. Deep understanding of payment systems, fraud detection technologies, and risk management tools. Experience with developing and implementing fraud controls, policies, and solutions. Develop Fraud Detection Models: Design and deploy predictive analytics models and machine learning algorithms to identify suspicious activities and patterns. Enhance Systems: Continuously optimize fraud monitoring systems to improve detection accuracy and reduce false positives. Data-Driven Insights: Analyse internal and external data sources to identify vulnerabilities and recommend proactive measures. Performance Metrics: Define and track key performance indicators (KPIs) to measure the effectiveness of fraud detection strategies. Industry Monitoring: Stay updated on emerging fraud tactics, industry benchmarks, and regulatory changes. Competitor Analysis: Analyse competitors risk management strategies to identify opportunities for improvement. Market Trends: Provide actionable insights from market intelligence to inform strategic decision-making. Experience • 10+ years of experience in fraud, risk management, or least 3 years in a leadership role. Technical Skills • Expertise in data analytics tools (e.g., Python, R, SQL, SAS). • Familiarity with machine learning platforms and fraud detection software. • Knowledge of industry-specific regulations and compliance standards. Key Competencies Strong analytical and problem-solving skills. Excellent leadership and team-building abilities. Strategic thinker with strong business acumen. Effective communicator with the ability to convey complex data insights to non-technical stakeholders