EXL—Manager

Job description

Description: Key Responsibilities - Design, develop, and implement statistical and machine learning models for fraud detection and prevention. - Analyze large datasets to identify fraud patterns, anomalies, and emerging threats. - Monitor model performance, recalibrate thresholds, and recommend improvements. - Collaborate with cross-functional teams to integrate models into operational systems. - Prepare detailed reports and dashboards for stakeholders on fraud trends and model effectiveness. - Ensure compliance with regulatory and data governance standards. Requirements: Skills & Qualifications - Bachelor’s/Master’s in Statistics, Mathematics, Computer Science, Data Science, or related field. - Strong knowledge of fraud risk management concepts and industry best practices. - Proficiency in SQL, Python, R, or SAS for data analysis and modeling. - Experience with machine learning algorithms (e.g., logistic regression, decision trees, gradient boosting). - Excellent analytical, problem-solving, and communication skills. - Prior experience in BFSI fraud analytics is preferred. Responsibilities: Preferred Attributes - Ability to work with minimal supervision in a fast-paced environment. - Strong business acumen with a focus on actionable insights. - Familiarity with real-time fraud detection systems and big data platforms.