Risk Analyst
Role Overview -
We are looking for a detail-oriented and analytical Risk & Fraud Analyst (MIS & Report Monitoring) to join our Operations team. The ideal candidate will be responsible for monitoring risk and fraud-related reports, managing operational MIS, analysing transaction data, identifying unusual patterns, and highlighting potential discrepancies or suspicious activities.
The candidate should have strong expertise in Advanced MS Excel, data analysis, reporting, and operational monitoring, with the ability to derive meaningful insights from large datasets.
Key Responsibilities
- Prepare, maintain, and monitor daily, weekly, and monthly MIS reports related to risk, fraud, and operational performance.
- Monitor transaction reports and operational data to identify unusual patterns, suspicious activities, and potential fraud indicators.
- Analyse large datasets to identify discrepancies, irregularities, trends, and risk-related gaps.
- Create and maintain Excel-based dashboards, trackers, and reports to monitor risk and operational KPIs.
- Coordinate with internal teams to collect, validate, consolidate, and analyse transaction and operational data.
- Highlight potential risk exposures, anomalies, and exceptions to the concerned teams for further investigation.
- Ensure accuracy, consistency, and timely submission of all MIS and monitoring reports.
- Automate repetitive reporting activities and improve reporting efficiency.
- Maintain proper documentation and audit trails of risk-related reports and findings.
- Support the Operations and Risk teams in data analysis, reporting, and process improvement initiatives.Required Skills & Qualifications
- Graduate in any discipline; preferably Business, Commerce, Finance, or a related field.
- Minimum 2+ years of experience in MIS, Operations Reporting, Risk Monitoring, Fraud Analysis, or Transaction Monitoring.
- Strong working knowledge of Advanced MS Excel, including: INDEX-MATCH, Data Validation and Conditional Formatting.
- Strong analytical, numerical, and problem-solving abilities.
- Ability to identify data anomalies, unusual transaction patterns, and reporting discrepancies.
- Good understanding of operational processes and risk-monitoring practices.
- Strong attention to detail and ability to work with large volumes of data.