Deputy Manager Risk Management Da Job in Paytm
Deputy Manager Risk Management Da
- Noida, Gautam Buddha Nagar, Uttar Pradesh
- Not Disclosed
- Full-time
Position: Deputy Manager Risk Management (Fraud Analytics)
Location: Noida, Uttar Pradesh
Department: Analytics Risk Operations (Offline Payments)
Employment Type: Full-time
About Paytm
Paytm is India s leading mobile payments and financial services distribution company, and the pioneer of the mobile QR payments revolution. Our mission is to serve 500 million Indians and integrate them into the formal economy through cutting-edge technology that empowers small businesses and consumers alike.
About the Team
The Risk Analytics team plays a critical role in safeguarding the integrity of Paytm's ecosystem. We focus on proactive fraud detection, building robust risk controls, and driving strategic decision-making through data insights. Every challenge is an opportunity here and meaningful change starts with our people.
Why Join Us?
With 500+ million registered users and over 21 million merchants, Paytm offers unmatched data depth and scale. This is your opportunity to be part of India s largest digital lending transformation. If you're passionate about creating impact, building scalable risk frameworks, and working in a fast-paced fintech environment this is the place for you.
Role Overview
As Deputy Manager Fraud Analytics, you will be instrumental in developing and managing fraud prevention strategies across Paytm s payment platforms. You ll support real-time fraud monitoring, rule configurations, analytics, and compliance. This role works closely with stakeholders across Risk Ops, Engineering, Product, and Compliance.
Key Responsibilities
- Develop and optimize fraud detection models using rule-based and data-driven approaches
- Monitor real-time transactions to identify suspicious activity; escalate issues and recommend corrective actions
- Configure and fine-tune rules in fraud monitoring systems to reduce false positives and improve accuracy
- Analyze transaction patterns and fraud trends to preemptively address vulnerabilities
- Collaborate with internal teams (Risk, Product, Compliance) to align fraud mitigation with business goals
- Support regulatory compliance and internal control projects in accordance with RBI guidelines
- Generate periodic reports and dashboards for senior management on fraud insights and emerging risks
- Assist in audit responses and handle fraud-related queries from regulatory bodies
- Drive continuous improvement in fraud detection tools, techniques, and operational processes
Required Qualifications & Skills
- Bachelor s degree in Data Analytics, Risk Management, Statistics, or a related field
- 4 8 years of experience in fraud analytics, risk management, or payments risk in fintech or BFSI
- Strong knowledge of fraud detection techniques and transaction monitoring systems
- Experience in configuring fraud rules and analyzing fraud patterns in high-volume environments
- Familiarity with RBI regulatory frameworks and guidelines governing payment platforms
- Excellent analytical and problem-solving skills
- Strong verbal and written communication skills, with the ability to present insights to both technical and non-technical teams
- Experience working with UPI, wallets, or other real-time payment systems
Preferred Skills
- Exposure to machine learning models for fraud detection
- Experience in licensed TPAP (Third Party App Provider) setups
- Understanding of regulatory audits, compliance standards, and fraud risk reporting in a regulated environment
What You ll Get
- A chance to be part of India s largest digital lending story
- Fast-paced, high-impact role in a leading fintech organization
- Opportunity to create tangible value for millions of users and merchants
- A collaborative, meritocratic culture that rewards performance
- Competitive compensation and career growth potential
Join us on our mission to redefine financial inclusion in India.
Be a part of something transformative. Be a part of Paytm.
Qualification : Bachelors degree in Data Analytics, Risk Management, Statistics, or a related field