Risk Analyst - Fraud & Transaction Risk

Paytm; Dadri; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Paytm is seeking an experienced Risk Analyst in Dadri, Uttar Pradesh, to focus on fraud detection, payment system analysis, and regulatory reporting. The ideal candidate will handle large datasets, build analytical dashboards, and implement risk rules.

The role requires strong analytical skills and proficiency in SQL, with a preference for experience in Payments or Fintech. Candidates will work collaboratively with cross-functional teams to enhance risk controls and operational efficiency.

Qualifications

• 3-6 years of experience in Risk Analytics or related functions.
• Experience in Payments, Fintech, Banking, or Financial Services is preferred.
• Strong proficiency in SQL, Excel, and data analysis techniques.

Responsibilities

• Implement and monitor fraud detection models to mitigate risk.
• Analyse transaction patterns to identify fraud trends.
• Develop dashboards using Power BI or Tableau to track key metrics.

Skills

Fraud detection

Data analysis

SQL

Risk analytics

Power BI

Python

Tools

Salesforce

JIRA

Tableau

Job description

About the Role:

We are seeking an experienced Risk Analyst with a strong background in fraud detection, payment system analysis, and regulatory reporting to join our team. The ideal candidate is adept at handling large datasets, building analytical dashboards, implementing risk rules, and monitoring merchant and transaction risk across our acquiring portfolio.

Key Responsibilities:

Risk Mitigation & Fraud Detection

• Implement and monitor fraud detection and anomaly identification models to proactively mitigate risk.
• Analyse transaction patterns and user behaviour to identify fraud trends, velocity anomalies, and payment failure patterns.
• Monitor chargeback rates, dispute trends, and MCC-level anomalies across the merchant acquiring portfolio; identify concentration risk and escalate breach events.
• Manage fraud rule logic on the transaction risk platform including rule‑writing, threshold calibration, velocity checks, and MCC‑level spike controls.
• Monitor merchant portfolio risk: track high‑risk MCC segments, GMV spike detection, and merchant‑level fraud concentration against defined limits.
• Conduct transaction monitoring, audits, and quality checks to ensure compliance and operational accuracy.
• Perform Root Cause Analysis (RCA) on transaction failures, fraud incidents, and operational issues, recommending corrective and preventive actions.
• Support risk investigations and provide actionable insights to business stakeholders.

Data Analysis & Reporting

• Extract, validate, and analyse data from payment systems and internal databases.
• Utilise SQL for data extraction, validation, and detailed analysis of transaction behaviour and risk trends.
• Develop and maintain dashboards using Power BI or Tableau to track key metrics such as transaction volume, fraud rates, chargeback rates, merchant risk scores, operational performance, and compliance metrics.
• Conduct log analysis to troubleshoot transaction failures and identify process gaps.
• Apply statistical techniques to interpret business data and support risk management initiatives.
• Prepare data inputs and analytical summaries for RBI/network regulatory submissions, audit support, and management reporting.

Operations & Automation

• Support automation of acquiring rules, merchant workflows, and operational processes using Python and internal tools.
• Manage routine data processes, automation tasks, and reporting workflows.
• Assist in system monitoring and operational support activities.
• Utilise Salesforce, JIRA, and other internal tools for issue tracking, project coordination, and workflow management.

Stakeholder Collaboration

• Partner with Product, Engineering, Operations, Compliance, and Business teams to identify risks and implement effective controls.
• Present insights, findings, and recommendations to stakeholders through reports and dashboards.
• Contribute to process improvement initiatives aimed at enhancing risk controls and operational efficiency.

Required Qualifications:

Experience

• 3–6 years of experience in Risk Analytics, Fraud Detection, Transaction Monitoring, Data Analytics, or related functions.
• Prior experience within Payments, Fintech, Banking, Financial Services, Payment Gateways, or Payment Aggregators is preferred.

Technical Skills

• Strong proficiency in SQL, Excel, and data analysis techniques.
• Hands‑on experience with Power BI and/or Tableau.
• Working knowledge of Python for automation, analytics, and process optimisation.
• Exposure to Salesforce, JIRA, SAS, Linux/UNIX environments, or similar enterprise tools is a plus.

Preferred Certifications

• Certified Fraud Examiner (CFE) or equivalent fraud/risk certification is an advantage.
• Tableau Certification.
• Relevant certifications in Risk Analytics, Fraud Management, or Data Analytics are an advantage.

Key Competencies

• Strong analytical and problem‑solving abilities.
• Excellent attention to detail and investigative mindset.
• Ability to work with large datasets and derive actionable insights.
• Strong communication and stakeholder management skills.
• Collaborative approach with cross‑functional teams and a data‑driven decision‑making mindset.