Fraud Analytics-2 Plus years -Delhi

Assistant Manager Fraud Analytics | Data Science & Analytics | Hybrid | Banking & Financial Services Summary An exciting opportunity for a Data Analytics professional to join a leading global financial institution in the Fraud Analytics function. The role involves leveraging advanced analytics, machine learning, and data science techniques to identify fraud patterns, enhance risk controls, and support strategic decision-making. This position offers exposure to large-scale data environments, predictive analytics, stakeholder management, and fraud risk management initiatives. Location Hybrid (2 Days Work from Office, 3 Days Work from Home) Shift Timings 11:00 AM 8:00 PM Your Future Employer A globally recognized financial services organization known for its strong risk management framework, data-driven decision-making culture, and commitment to innovation. The organization offers excellent opportunities to work on advanced analytics projects while collaborating with cross-functional stakeholders across the business. Responsibilities Identify, collect, extract, and analyze data from multiple internal and external sources to support fraud analytics initiatives. Perform data cleansing, transformation, and validation to ensure high-quality datasets for analytical modeling. Design, develop, and maintain automated data pipelines for efficient data acquisition and processing. Build and deploy statistical and machine learning models to identify fraud trends, patterns, risks, and opportunities. Develop predictive analytics solutions to forecast future outcomes and strengthen fraud prevention capabilities. Collaborate with business stakeholders to identify opportunities where data science can drive business value and improve operational effectiveness. Investigate data quality, lineage, governance, and control-related issues while ensuring data integrity. Generate analytical insights, dashboards, and reports to support business decision-making and risk management objectives. Partner with cross-functional teams to implement new policies, controls, and risk mitigation measures. Contribute to continuous improvement initiatives by enhancing analytical processes, reporting capabilities, and automation frameworks. Requirements Relevant experience in Fraud Analytics, Data Analytics, Risk Analytics, Data Science, or related domains within Banking or Financial Services. Strong expertise in SQL, SAS, Data Analytics, and Reporting. Experience working with large datasets and developing automated data processing workflows. Strong analytical and problem-solving skills with the ability to derive actionable insights from complex datasets. Experience in statistical analysis, predictive modeling, and machine learning techniques. Strong communication and stakeholder management skills with the ability to present insights effectively. Understanding of data governance, data quality frameworks, lineage, and controls. Ability to work independently in a fast-paced and dynamic environment. Strong attention to detail and commitment to maintaining high-quality analytical outputs. Experience within fraud risk management, financial crime analytics, or banking analytics will be preferred. Preferred Skills Advanced SQL and SAS programming expertise. Knowledge of Machine Learning and Predictive Analytics techniques. Experience in Data Pipeline Development and Automation. Exposure to Fraud Detection Models and Risk Analytics frameworks. Knowledge of data visualization and reporting tools. Strong business acumen and decision-making capabilities. Ability to influence stakeholders and communicate complex findings effectively. What is in it for you Opportunity to work with a globally renowned financial institution. Exposure to advanced Fraud Analytics, Machine Learning, and Data Science projects. Hybrid working model offering flexibility and work-life balance. Collaborative environment with strong learning and career progression opportunities. Opportunity to contribute to high-impact fraud prevention and risk management initiatives. Competitive compensation and benefits package. Reach us If you think this role is aligned with your career, kindly write me an email along with your updated CV on Sadaf.zenab@crescendogroup.in for a confidential discussion on the role. Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status. Assistant Manager Fraud Analytics | Data Science & Analytics | Hybrid | Banking & Financial Services Summary An exciting opportunity for a Data Analytics professional to join a leading global financial institution in the Fraud Analytics function. The role involves lever