Job Title

Job Description – Assistant Manager EFRM & Risk Analytics Position Details Position Title: Assistant Manager EFRM & Risk Analytics Department: Fraud Control Unit(FCU) Location: Mumbai Reports To: Head FCU Role Overview The Data Science & Risk Analytics Lead will be responsible for designing, developing, and operationalizing advanced analytical models that support enterprise-wide risk management, fraud prevention, and regulatory compliance. The role requires expertise in quantitative modeling, business intelligence, statistical validation, and stakeholder management, with a strong focus on enabling data-driven decision-making across the organization. Key Responsibilities Enterprise Risk Management (ERM) Design, implement, and maintain a standardized Enterprise Fraud Management (EFM) framework covering prevention, detection, monitoring, reporting, and investigation of fraud. Establish enterprise-wide policies, procedures, and governance mechanisms to manage fraud risks consistently across all business units. Ensure alignment of the framework with regulatory requirements, industry best practices, and internal control standards. Fraud Detection & Prevention Analytics Build fraud detection frameworks using machine learning, anomaly detection, and pattern-mining techniques. Monitor fraud trends, identify emerging threats, and implement preventive strategies across digital, credit, and operational risk areas. Enhance fraud rules, scoring engines, and real-time decisioning systems. Business Intelligence & Dashboarding Lead the design and development of enterprise BI dashboards for senior management, risk committees, and operational teams. Ensure timely insights via automated reporting, data visualization, and self-service analytics tools. Drive data accuracy, integrity, and governance across reporting platforms. Regulatory Compliance & Governance Support compliance preparedness for regulatory requirements (RBI, internal audit, model audit, etc.). Document model development processes, assumptions, governance frameworks, and audit trails. Partner with Compliance to ensure adherence to model governance and data governance standards. Qualifications & Skills Educational Qualifications Master’s degree in Data Science, Statistics, Mathematics, Engineering, Economics, or related fields. Certifications in analytics, ML/AI, or risk management (preferred). Technical Skills Strong proficiency in Python / R / SQL Experience with ML modeling, statistical analysis, and model validation Hands-on with BI tools such as Power BI, Tableau, Qlik Understanding of credit risk frameworks, fraud analytics, and regulatory guidelines Knowledge of data engineering and database management (preferred) Behavioural Skills Strong analytical and problem-solving capabilities Excellent communication and presentation skills Ability to manage stakeholders at senior leadership levels Team leadership and mentoring experience Experience 4-10 years of experience in Data Science, Risk Analytics, Fraud Analytics, or related fields within BFSI & NBFC. Proven track record in building models and operationalizing analytics solutions at scale & forensic investigation in lending.