Fraud Analytics

Role Overview: As an Engagement Manager, Fraud Analytics with over 10 years of experience in banking and financial services, your role will involve leading and mentoring a team of fraud analysts, data scientists, and engineers. You will be responsible for developing and implementing fraud detection models using machine learning and statistical techniques. Your proficiency in SQL and Python will be crucial for extracting, analyzing, and interpreting fraud trends from large datasets. Additionally, you will collaborate with risk management, compliance, and technology teams to strengthen fraud controls and optimize real-time fraud monitoring systems. Key Responsibilities: - Lead and mentor a team of fraud analysts, data scientists, and engineers. - Develop and implement fraud detection models using machine learning and statistical techniques. - Utilize SQL and Python to extract, analyze, and interpret fraud trends from large datasets. - Monitor and enhance fraud prevention frameworks to minimize financial losses. - Collaborate with risk management, compliance, and technology teams to strengthen fraud controls. - Design and optimize real-time fraud monitoring systems and automated alerts. - Provide insights and recommendations based on data-driven risk assessments. - Stay updated on emerging fraud patterns, regulatory requirements, and industry best practices. Required Qualifications & Skills: - 10+ years of experience in fraud analytics, risk management, or financial crime analytics in the banking sector. - Strong SQL and Python proficiency for data manipulation and predictive modeling. - Hands-on experience with fraud detection techniques, anomaly detection, and behavioral analytics. - Proven ability to lead and manage large teams in fraud prevention and data analytics. - Experience working with big data platforms (Hadoop, Spark, etc.) and cloud-based analytics tools. - Familiarity with machine learning frameworks (Scikit-Learn, TensorFlow, etc.) is a plus. - Excellent problem-solving, stakeholder management, and decision-making skills. - Strong communication skills to present fraud insights to senior leadership.,