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Risk Manager
2 weeks ago
Senior Fraud Risk Modeler
\Job Role: Senior Fraud Risk Modeler
\Experience: 5+ Years
\Location: Gurgaon/Bangalore
\We are seeking a highly skilled Senior Fraud Risk Modeler to join our team. As a key member of our risk management department, you will be responsible for designing, developing, and maintaining models to detect and prevent fraud across various financial products and channels - primarily in the credit card domain.
\- \
- Model Development & Validation: Build, implement, and validate fraud detection and prevention models using advanced statistical and machine learning techniques for credit card products.\
- Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance, and provide actionable insights.\
- Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends, and quantify exposure to evolving threats across digital and traditional channels.\
- Communication & Collaboration: Effectively present analytical findings and model performance to both technical and non-technical stakeholders, including fraud operations, compliance, and executive leadership.\
- Documentation & Reporting: Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and compliance requirements.\
- Technical Skills: Strong proficiency in Python, SQL, and data science tools; familiarity with real-time decision engines and fraud detection platforms is a plus.\
- Domain Expertise: Deep understanding of fraud domain expertise for debit card product.\
- Leadership & Teamwork: Ability to lead fraud analytics initiatives, mentor junior analysts or data scientists, and collaborate with risk, IT, and fraud operations teams.\
- Problem Solving: Proactively identify vulnerabilities in fraud strategies, recommend enhancements, and respond to emerging threats in a fast-paced environment.\
- Adaptability: Stay current with the latest fraud schemes, detection technologies, and regulatory developments impacting fraud risk management.\