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.

Responsibilities

Preferred Attributes
Ability to work with minimal supervision in a quick-paced environment.
Solid business acumen with a focus on actionable insights.




Familiarity with real-time fraud detection systems and big data platforms.

Qualifications

Skills & Qualifications
Bachelor’s/Master’s in Statistics, Mathematics, Computer Science, Data Science, or related field.
Robust 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.

📌 Manager Gurugram
🏢 EXL
📍 Gurugram