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Tier-1 brand, metro location, and mid-level generalist analytics role drive high competition.
Requires domain-specific risk analytics and SAS experience, limiting cross-industry transferability.
Explicit 7+ years and mandatory SAS plus risk analytics and regulatory experience makes filters stringent.
Analyze operational data from multiple stakeholders to identify trends and provide insights for business planning and process improvements.
Develop and optimize risk segmentation and credit abuse/fraud strategies at acquisition and customer management stages, including P&L optimization using statistical models.
Lead projects, prepare presentations for senior management, participate in audit and regulatory reviews, and collaborate with cross-functional teams including MRM and governance for strategy implementation and compliance.
7+ years of experience with SAS, Risk Analytics, Fraud, Credit Abuse, P&L Analysis, Segmentation, CHAID, Credit Cards, Risk Appetite Acquisition, and Underwriting.
Bachelor's or university degree in Engineering, Statistics, Economics, or MBA.
Work timing: 1 PM - 10 PM IST; Hybrid work mode with 3 days in office per week.
Experience working in financial services analytics and demonstrated skills in project/process management and effective communication.
Experienced in developing and implementing statistical risk and fraud strategies within financial services, particularly credit cards and credit abuse.
Strong leadership capability indicated by responsibility for coaching junior members and leading projects with cross-functional collaboration.
Ability to translate complex data analysis into actionable insights and communicate effectively to senior leaders and audit/regulatory forums.