Career OpportunitiesPositionManager, Data Analytics and controlsNo. of Positions1DepartmentFraud Monitoring UnitFunctionInternal AssuranceReporting toAssistant Vice President, FMUBand4LocationGurgaon (HO)Job Summary:
Monitor and analyze transactional data to identify suspicious patterns, fraud trends, and emerging risks.
Develop, maintain, and optimize fraud detection rules, triggers, and analytical models to enhance fraud prevention.
Perform data mining and statistical analysis to identify fraud vulnerabilities and recommend preventive controls.
Design and automate MIS dashboards, fraud reports, and key risk indicators (KRIs) for management review.
Conduct root cause analysis of fraud incidents and recommend corrective and preventive actions.
Collaborate with Fraud Risk, Operations, Business, Compliance, and Technology teams to strengthen fraud controls.
Validate and investigate fraud alerts generated through monitoring systems and recommend appropriate action.
Develop, implement, and execute testing ofRed Flag Indicators (RFIs) for high-risk transactions using advanced data analytics tools and query languages such asSQL andPython to proactively detect suspicious and potentially fraudulent activities across customer acquisition, post-issuance services, renewal management, policyholder services, mortality claims, market fraud, and other operational process violations.
Leverage analytical tools includingSQL, Python, SAS, Excel, Power BI, and Tableau for data extraction, transformation, analysis, visualization, and the development of actionable insights to strengthen fraud monitoring and risk management. Monitor portfolio performance by analyzing fraud trends across products, channels, geographies, and customer segments.
Support implementation and validation of machine learning and predictive analytics models for fraud detection.
Ensure compliance with internal policies, regulatory requirements, and audit observations related to fraud risk management.
Prepare presentations and management reports highlighting fraud trends, control effectiveness, and key analytical insights. Continuously improve fraud monitoring processes by leveraging automation and advanced analytics techniques.
Key Responsibilities:Management Assurance:
Manage update Data Analytics and Controls Assurance Program to test effectiveness of controls throughselection and review of high risks cohorts
Collaboration with Distribution Operation functions like New Business, Underwriting, Claims, Training, IT, Compliance, Audit, IT on a strategic level to drive Management Assurance in the areas of Distribution, Market Conduct and Mortality Controls.
Provide assurance to management on reliability of the sales management funnel by through and monitoring of quality authenticity of sales governance reporting.
Build, operate synchronize FMU data.
Creating FMU database by merging, cleaning, and unifying various data sources and updating it at defined frequency.
Build automated queries for generating/ throwing triggers for investigations.
Design recommend system level Anti-Fraud measures/ controls through collaboration with OPS, UW and Claims.
Inclusion of new forensic oriented queries to cover fraud vulnerable areas in customer journey.
Developing various Management Dashboards pertaining to CXO reporting and FMU governance.
Measures of Success:
Generation of suspected fraud triggers/ transactions in a timely regular manner.
Timely updating the database with zero or minimal error.
Data to be managed in a simple, readable and query enabled language.
MIS and dashboards to be published at defined frequency.
Automation of tasks wherever possible.
Desired experience:
- Expertise in data analytical tools and languages like SQL, Python etc is must.
- Data visualisation tools for management dashboards.
- Knowledge of Gen AI for generation of RFIs is must.
- Expertise in generating RFI/ potential fraud triggers is must.
- Experience in BFSI/ Fin tech/ Banking in similar domain is desired.
- 8-10 yrs of work experience (10-12 is on higher side).
- Excellent communication and presentation skills is must.
- Proficient with MS Office including excel and ppt
Should have working knowledge in the areas of forensic data analytics.
Knowledge and skills required:
In-depth understanding hands on experience of data analytical data visualization techniques.
Experience in banking/ NBFC/ e-Commerce Insurance.
Skilled in advanced excel power point.
Excellent written and oral communication.
ELIGIBILITY: As per internal IJP norms
