Fraud Analyst

4 weeks ago


Gurgaon, Haryana, India EXL Full time

Job Description – Fraud Model DevelopmentWe are seeking a highly skilled and motivated Fraud Analytics and Machine Learning Modeler to join our team. In this role, you will develop and deploy cutting-edge machine learning models and analytics solutions to detect, prevent, and mitigate fraud across banking products and services. The ideal candidate is passionate about leveraging data science and analytics to protect customers and enhance the bank's operational efficiency.Responsibilities:Build predictive models for real-time fraud detection systems.Evaluate and optimize existing ML models for performance, scalability, and explainability.Apply deep learning and advanced analytics for behavior analysis and risk profiling.Analyze transaction data to identify patterns, anomalies, and fraud trends.Perform exploratory data analysis (EDA) to understand customer behavior and potential fraud vulnerabilities.Translate data-driven insights into actionable recommendations for leadership and stakeholders.Collaborate with fraud strategy and operations teams to enhance fraud prevention frameworks.Qualifications:3-10+ years of experience in analytics preferably in Banking and Financial ServicesA minimum of 3 years of hands-on experience working on Machine Learning models to solve analytical use cases.Solid understanding of banking products, fraud types (e.g., account takeover, synthetic fraud, identity theft), and transaction systems.Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.Proficiency in programming languages such as Python, and experience with ML related libraries.Experience with large-scale data processing and distributed computing frameworks is a plus.Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders.


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