Vice President - Fraud Analytics

Job Description Role Overview: You will be leading a team in Citi Analytics & Information Management (AIM) as a C13 (People Manager) based in Pune, India. Reporting to the SVP, AIM Fraud Analytics, your primary responsibility will be to extract various data sources, analyze transaction data, understand fraud patterns, develop fraud loss mitigation strategies, and monitor strategy performance. You will collaborate with the strategy implementation team, proactively come up with fraud loss mitigation measures, and lead a team of analytics professionals to achieve the overall business goal of minimizing fraud losses and customer impact. Key Responsibilities: - Lead a team to extract various data sources, generate fraud risk insights, recommend business solutions, and monitor strategy performance with 100% execution accuracy - Have a holistic view of different retail banking products, integrate analytical thinking and business knowledge to develop client-centric solutions, and recommendations - Utilize fraud decision engines like Actimize EFD and Threat Matrix, along with proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling - Demonstrate expertise in decision tree methods (CHAID/CART), Logistic Regression, exploratory data analysis, and tools such as SAS, SQL, Hive, Impala, and Excel - Prior experience in Fraud Analytics is preferable, knowledge of Tableau or other data visualization tools is desirable - Manage stakeholder relationships across various functions and regions, translate data into consumer insights, and drive targeting and segmentation strategies - Deliver clear and concise presentations to business stakeholders and senior management, provide coaching, mentorship, and technical guidance to your team - Lead projects, ensure the robustness of proposed solutions, and demonstrate proactive business solutioning with an expert consulting mindset Qualifications Required: - Minimum 11+ years of analytics experience in the BFSI domain with proficiency in statistics, hypothesis testing, segmentation, and predictive modeling - Strong skills in SAS, SQL, Hive, Impala, and Excel, knowledge of Python is desirable - Bachelor's degree in finance, engineering, quantitative fields (Statistics, Mathematics), or MBA - Experience in people management, with at least 3 years of managing teams - Demonstrable analytics problem-solving skills, excellent verbal and written communication, and the ability to influence business outcomes effectively Note: Model execution and governance experience in any domain will be preferable. Ensure proactive risk mitigation, manage project pipeline, set high performance standards for your team, and demonstrate thought leadership in partner meetings for driving innovative solutions. Role Overview: You will be leading a team in Citi Analytics & Information Management (AIM) as a C13 (People Manager) based in Pune, India. Reporting to the SVP, AIM Fraud Analytics, your primary responsibility will be to extract various data sources, analyze transaction data, understand fraud patterns, develop fraud loss mitigation strategies, and monitor strategy performance. You will collaborate with the strategy implementation team, proactively come up with fraud loss mitigation measures, and lead a team of analytics professionals to achieve the overall business goal of minimizing fraud losses and customer impact. Key Responsibilities: - Lead a team to extract various data sources, generate fraud risk insights, recommend business solutions, and monitor strategy performance with 100% execution accuracy - Have a holistic view of different retail banking products, integrate analytical thinking and business knowledge to develop client-centric solutions, and recommendations - Utilize fraud decision engines like Actimize EFD and Threat Matrix, along with proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling - Demonstrate expertise in decision tree methods (CHAID/CART), Logistic Regression, exploratory data analysis, and tools such as SAS, SQL, Hive, Impala, and Excel - Prior experience in Fraud Analytics is preferable, knowledge of Tableau or other data visualization tools is desirable - Manage stakeholder relationships across various functions and regions, translate data into consumer insights, and drive targeting and segmentation strategies - Deliver clear and concise presentations to business stakeholders and senior management, provide coaching, mentorship, and technical guidance to your team - Lead projects, ensure the robustness of proposed solutions, and demonstrate proactive business solutioning with an expert consulting mindset Qualifications Required: - Minimum 11+ years of analytics experience in the BFSI domain with proficiency in statistics, hypothesis testing, segmentation, and predictive modeling - Strong skills in SAS, SQL, Hive, Impala, and Excel, knowledge of Python is desirable - Bachelor's degree in finance, engineering