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)
Behavioral 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, fintech, or consulting.
- Proven track record in building models and operationalizing analytics solutions at scale.
