Job Description & How to Apply Below
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.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×