Fraud Risk & Risk Analytics

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

Job summary

Paytm is seeking a data-driven Risk Management professional with 5–7 years of experience in Fraud Risk, Operational Risk and Risk Analytics within the Fintech and digital payments ecosystem. The role focuses on identifying and mitigating fraud and operational risks through data analytics, transaction monitoring, dashboards and robust control frameworks for payment products and merchant ecosystems.

You will collaborate with Business, Product, Technology, Operations and Compliance teams to

Qualifications

• 5–7 years of experience in Fraud Risk, Risk Analytics, Operational Risk or Payments Risk.
• Experience in Fintech, Digital Payments, Payment Gateways or Banking is essential.
• Experience with digital-first financial platforms and payment ecosystems preferred.
• Strong data analytics and risk monitoring skills.
• Knowledge of RBI Outsourcing Guidelines and PA Master Directions is a plus.

Responsibilities

• Identify and monitor fraud patterns, suspicious transactions and emerging risk trends across payment products.
• Develop data-driven monitoring mechanisms to identify anomalies, transaction irregularities and potential fraud exposure.
• Build and maintain fraud and operational risk dashboards using SQL, Python and BI tools.
• Perform data extraction, querying and analysis to generate actionable risk insights.
• Define and track Key Risk Indicators (KRIs), fraud metrics, operational losses and risk thresholds.
• Conduct root cause analysis of fraud incidents and recommend preventive controls.
• Assess risks across merchant onboarding, KYC, transaction processing, payment operations and customer servicing.
• Strengthen controls around merchant onboarding, PAN validation, MCC classification and transaction monitoring.
• Monitor payment risk exposure and ensure adherence to RBI regulations and payment network guidelines.
• Drive Risk & Control Self-Assessments (RCSA) and identify control gaps.
• Coordinate with stakeholders to implement risk mitigation measures.
• Conduct risk assessments and due diligence of third-party service providers.
• Monitor vendor performance, SLA adherence and control effectiveness.
• Support audits and regulatory inspections.
• Translate complex datasets into meaningful business insights and recommendations.
• Drive risk analytics initiatives through SQL queries, Python-based analysis and dashboarding.
• Maintain risk policies, SOPs and governance documentation.

Skills

Fraud Risk

Risk Analytics

Operational Risk

Payments Risk

Data Analysis

Stakeholder Management

KYC Knowledge

Education

MBA / Postgraduate in Finance or Analytics

Tier 1 / Tier 2 institutes preferred

Tools

SQL

Python

Power BI

Tableau

Excel

Job description

We are looking for a data-driven Risk Management professional with 5–7 years of experience in Fraud Risk, Operational Risk and Risk Analytics within the Fintech, Payments or Digital Banking ecosystem.

The role will focus on identifying and mitigating fraud and operational risks through data analytics, transaction monitoring, risk dashboards and robust control frameworks. The incumbent will work closely with Business, Product, Technology, Operations and Compliance teams to strengthen risk governance across payment products and merchant ecosystems.

Key Responsibilities

• Identify, analyse and monitor fraud patterns, suspicious transactions and emerging risk trends across payment products.
• Develop data-driven monitoring mechanisms to identify anomalies, transaction irregularities and potential fraud exposure.
• Build and maintain fraud and operational risk dashboards using SQL, Python and BI tools.
• Perform data extraction, querying and analysis to generate actionable risk insights.
• Define and track Key Risk Indicators (KRIs), fraud metrics, operational losses and risk thresholds.
• Conduct root cause analysis of fraud incidents and recommend preventive controls.

2. Operational & Payments Risk Management

• Assess risks across merchant onboarding, KYC, transaction processing, payment operations and customer servicing.
• Strengthen controls around merchant onboarding, PAN validation, MCC classification and transaction monitoring.
• Monitor payment risk exposure and ensure adherence to RBI regulations and payment network guidelines.
• Drive Risk & Control Self-Assessments (RCSA) and identify control gaps.
• Coordinate with relevant stakeholders to implement risk mitigation measures.

3. Outsourcing & Third-Party Risk Management

• Conduct risk assessments and due diligence of third-party service providers.
• Monitor vendor performance, SLA adherence and control effectiveness.
• Support periodic risk reviews and ensure compliance with applicable RBI Outsourcing Guidelines.
• Partner with Information Security and Compliance teams on vendor risk assessments.
• Develop automated dashboards and periodic risk reports for management review.
• Translate complex datasets into meaningful business insights and recommendations.
• Drive risk analytics initiatives through SQL queries, Python-based analysis and dashboarding.
• Maintain risk policies, SOPs and governance documentation.
• Support internal audits, external audits and regulatory inspections.

Desired Candidate Profile

Experience & Industry

• 5–7 years of experience in Fraud Risk, Risk Analytics, Operational Risk or Payments Risk.
• Experience in Fintech, Digital Payments, Payment Aggregators, Payment Gateways or Banking is essential.
• Prior experience with digital-first financial platforms and payment ecosystems preferred.

Technical & Analytical Skills

• Strong hands-on expertise in SQL, including writing complex queries for data extraction and analysis.
• Working knowledge of Python for data analysis, automation and risk analytics.
• Advanced Google Sheets / MS Excel skills.
• Experience with dashboarding and visualisation tools such as Power BI, Tableau or similar platforms.
• Ability to analyse large datasets, identify patterns and derive actionable insights.

Domain Expertise

• Strong understanding of Fraud Risk, Transaction Monitoring and Payment Risk.
• Knowledge of RBI Outsourcing Guidelines and PA Master Directions.
• Familiarity with KYC, merchant onboarding, PAN validation and MCC classification.
• Understanding of RCSA, KRIs, operational loss management and control testing.

Education

• MBA / Postgraduate qualification in Finance, Risk Management, Analytics or related disciplines preferred.
• Graduates from Tier 1 and Tier 2 institutes preferred.

Target Designations:

Assistant Manager / Deputy Manager (AM/DM)