Job Description
- MBA in IT/Finance preferred.
- BASE SAS and/or Tableau Certification is a plus.
- Proven ability to collaborate cross-functionally with product and engineering teams to deliver data-driven insights.
- Implement and monitor fraud detection and anomaly models for effective risk mitigation.
- Monitor and analyze transaction patterns to improve payment success rates and user experience.
- Conduct transaction monitoring & auditing to ensure accuracy, compliance, and quality.
- Perform Root Cause Analysis on transaction issues and recommend process improvements.
- Extract and integrate data from diverse payment and internal systems, ensuring data consistency and accuracy.
- Utilize SQL for data extraction, validation, and in-depth analysis of transaction patterns.
- Build and maintain analytical dashboards using tools like Power BI and Tableau.
- Perform log analysis to troubleshoot transaction failures and ensure smooth payment flow.
- Interpret and analyze business data using statistical techniques.
- Automate acquiring rule setups and merchant workflows.
- Manage system processes, perform data task automation, and provide backup/recovery planning.
- Comfortable working with Linux/UNIX environments and managing UNIX-based systems.
- Utilize Salesforce for tracking and JIRA for task management and team collaboration.
- 5+ years of experience in Fraud Detection, Risk Analytics, or Data Analysis.
- Expert proficiency in SQL, Excel, Power BI (or Tableau), and strong familiarity with Python.
About Us:
Headquartered in Noida, India, Paytm Insurance Broking Private Limited (PIBPL), a wholly owned subsidiary of One97 Communications (OCL) is an online insurance market place, that offers insurance products across all leading insurance companies, with products across auto, life and health insurance and provide policy management and claim services for our customers.
Role Overview:
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, and implementing models to mitigate risk.
Responsibilities:
The primary responsibilities for this role will include:
Risk Mitigation & Fraud Detection
- Implement and monitor fraud detection and anomaly models for effective risk mitigation.
- Monitor and analyze transaction patterns to improve payment success rates and user experience.
- Conduct transaction monitoring & auditing to ensure accuracy, compliance, and quality.
- Perform Root Cause Analysis on transaction issues and recommend process improvements to address recurring problems.
Data Analysis & Reporting
- Extract and integrate data from diverse payment and internal systems, ensuring data consistency and accuracy.
- Utilize SQL for data extraction, validation, and in-depth analysis of transaction patterns.
- Build and maintain analytical dashboards using tools like Power BI and Tableau for key metrics, including transaction volume, fraud rates, QA performance, error trends, and compliance metrics.
- Perform log analysis to troubleshoot transaction failures and ensure smooth payment flow.
- Interpret and analyze business data using statistical techniques.
Operations & Technical Skills
- Automate acquiring rule setups and merchant workflows, ideally using Python and internal tools.
- Manage system processes, perform data task automation (e.g., via SAS Management Console), and provide backup/recovery planning.
- Comfortable working with Linux/UNIX environments and managing UNIX-based systems.
- Utilize Salesforce for tracking and JIRA for task management and team collaboration.
Required Qualifications:
Experience: 5+ years of experience in Fraud Detection, Risk Analytics, or Data Analysis, preferably within the finance or payments sectors.
Technical Skills:
- Expert proficiency in SQL, Excel, Power BI (or Tableau), and strong familiarity with Python.
- Education: MBA in IT/Finance preferred.
- Certifications: BASE SAS and/or Tableau Certification is a plus.
- Soft Skills: Proven ability to collaborate cross-functionally with product and engineering teams to deliver data-driven insights.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
