Fraud Risk & Compliance Manager

Paytm; Dadri; On-site; INR 1,600,000 - 2,500,000; Full time

Job summary

Paytm in Dadri, India, is seeking a highly experienced Fraud Risk Management professional to lead efforts in fraud detection and regulatory compliance. This role involves engineering risk rules, optimizing machine learning models, and acting as a point of contact for regulatory bodies.

The ideal candidate will have over 10 years of experience in fraud management within the fintech sector, a postgraduate degree in relevant fields, and a strong command of SQL and Python. Join Paytm to safeguard our digital payments ecosystem.

Qualifications

• 10+ years of progressive experience in Fraud Risk Management and Digital Payments.
• Postgraduate qualifications in Business Administration and Machine Learning & AI preferred.
• Strong skills in SQL and Python.

Responsibilities

• Lead fraud investigations for digital payment systems.
• Ensure compliance with RBI and NPCI regulations.
• Develop and optimize risk rules and ML models.

Skills

Fraud Risk Management

Data Analysis

Machine Learning

Python

SQL

Team Leadership

Regulatory Compliance

Education

Postgraduate qualifications in Business Administration

Machine Learning & AI

Job description

Role Overview

We are seeking a highly experienced, data-driven Fraud Risk Management professional to lead our fraud detection, investigation, and regulatory compliance frameworks. In this role, you will be responsible for safeguarding our digital payments ecosystem (including UPI, IMPS, Wallets, and Merchant platforms) by engineering advanced risk rules, optimizing machine learning models, and leading high-performing operational teams. You will also act as a primary liaison with key regulatory bodies (RBI, NPCI) and Law Enforcement Agencies (LEAs) to ensure ironclad compliance and proactive risk mitigation.

Key Responsibilities

1. Regulatory Compliance & Governance

• Implement Circulars: Spearhead the end-to-end implementation of all fraud risk-related circulars and compliance mandates from the RBI, NPCI, and FIU.
• Regulatory Confirmation: Own and ensure the timely, accurate submission of critical regulatory implementations on the PCOMP portal.
• Stakeholder Liaison: Serve as the primary point of contact for ad-hoc risk inquiries from regulatory bodies and Law Enforcement Agencies (LEA).
• Executive Reporting: Prepare and present advanced data analysis and high-level risk reports for Board-level forums, including the Risk Management Committee (RMC).

2. Risk Rule Engineering & Advanced Analytics

• Rule Development: Codify, test, and deploy hundreds of high-impact risk rules (velocity, blacklists, compliance) using Python and SQL to counter emerging fraud vectors.
• Data Analysis: Query and analyze large-scale transactional and profile data to identify patterns, build automated daily alert reports, and perform Root Cause Analysis (RCA).
• ML Model Optimization: Partner cross-functionally with Tech and Data Science teams to refine and optimize Machine Learning/AI-driven risk models to boost detection efficiency and reduce false positives.

3. Fraud Investigations & Operations

• Investigations: Lead end-to-end investigations into sophisticated digital payment fraud across UPI, IMPS, RTGS, PPI wallets, and merchant platforms.
• Real-time Surveillance: Oversee real-time transaction monitoring systems and instant containment protocols to mitigate active fraud threats.
• Process Improvement: Author and standardize Standard Operating Procedures (SOPs) to streamline fraud risk workflows and drastically reduce case resolution times.

4. Team Leadership & Collaboration

• People Management: Direct, mentor, and upscale a large operations team (including Team Leaders) covering customer fraud support, transaction monitoring, and grievance handling.
• Cross-Functional Alignment: Collaborate closely with Product, Tech, and Compliance teams to secure stakeholder sign-offs and integrate preventive risk controls seamlessly into the product architecture.

Required Qualifications & Experience

• Experience: 10+ years of progressive experience in Fraud Risk Management, Digital Payment Scams, and Cyber Incident investigations within a FinTech, Payment Bank, or digital banking environment.
• Education: Postgraduate qualifications in Business Administration and Machine Learning & AI are highly preferred.
• Technical Stack: Proficient in SQL and Python.
• Domain Knowledge: Deep understanding of Indian digital payment architectures (UPI, TPAP frameworks, Wallets, IMPS) and corresponding regulatory landscapes (RBI and NPCI guidelines).
• Certifications: CFE (Certified Fraud Examiner) or equivalent professional risk/fraud certifications are a significant advantage.

Soft Skills & Competencies

• Exceptional leadership, team building, and performance management capabilities.
• Strong strategic communication skills tailored for board-level and executive stakeholders.
• Analytical, problem-solving mindset with a keen eye for forensic detail.