One MobiKwik Systems - Director - Fraud Risk & Analytics

About the Role:
The Director - Fraud Risk & Analytics will lead the organization's fraud risk management and analytics function, combining strategic oversight with deep analytical capabilities. This role will be responsible for building and executing fraud prevention frameworks, leveraging AI/ML-based models, and providing actionable insights to mitigate fraud risks across digital and transactional ecosystems.

Key Responsibilities:

- Oversee end-to-end fraud risk strategy across Fraud Operations, Transaction Monitoring and Chargeback functions.
- Design and implement fraud prevention frameworks, governance structures, and escalation protocols in line with regulatory and internal standards.
- Collaborate with Product, Technology, and Compliance teams to enhance fraud detection systems, controls, and response mechanisms.
- Lead complex fraud investigations and ensure timely reporting to internal and external stakeholders.
- Monitor key fraud KPIs, emerging risk indicators, and fraud typologies to proactively mitigate vulnerabilities.
- Analyze transactional and behavioral data using AI/ML techniques to identify patterns and anomalies.
- Develop and maintain AI/ML-based fraud detection models, rule engines, and scoring mechanisms.
- Leverage analytics tools (Python, SQL, Power BI, etc.) to drive trend analysis, anomaly detection, and insight generation.
- Deliver actionable, data-driven insights and dashboards to strengthen fraud prevention and decision-making.
- Continuously refine fraud models and frameworks using feedback loops, evolving fraud trends, and new data sources.
Requirements:
- Bachelor's or Master's degree in any field; preference for Engineering / Technology graduates
- 12-15 years of experience in Fraud Risk Management, preferably in fintech, digital banking, or payments.
- Deep understanding of RBI, FIU-IND, and PMLA regulations applicable to fintech and NBFCs.
- Experience with fraud detection and transaction monitoring tools (e.g., Feedzai, Actimize, SAS Fraud Management, Falcon, ACI, etc.).
- Proven track record in setting up or scaling fraud analytics functions