Risk Data Analyst

About the Team The Business Analysis & Operations team ensures Traveloka runs efficiently across all business functions. We streamline processes, analyze performance, and implement operational strategies that enable teams to work smarter and deliver exceptional experiences to our customers. Job Summary

As a Senior Analyst within the Business Analysis & Operations function’s Financing domain’s Risk Control team, you will play a pivotal role in bridging process optimization and fraud risk mitigation to support Traveloka’s operational efficiency and customer experience goals. Leveraging the team’s focus on streamlining cross-functional processes, you will combine business process analysis expertise with anti-fraud initiatives to drive sustainable improvements and protect the company’s financial interests.

Job Responsibilities * Identify and evaluate existing business processes within the Risk Control domain to uncover inefficiencies and propose targeted improvements aligned with strategic financial and operational goals * Utilize statistical methods and data analysis to identify trends in fraud activities, diagnose root causes of operational gaps in risk mitigation, and develop actionable solutions

* Conduct in-depth research on industry benchmarks and competitive trends in anti-fraud and risk control to recommend best practices for sustainable business process and fraud prevention improvements * Propose and implement new methodologies and workflows to enhance product/service quality, elevate customer satisfaction, and strengthen fraud risk mitigation measures * Extract, clean, and analyze large sensitive datasets to identify potential fraudulent activities across all Traveloka products

* Develop complex SQL queries (including joins and aggregations) to support fraud detection, investigation, and reporting needs for the Risk Control team * Support fraud investigators by providing data insights, evidence, and pattern analysis to resolve cases effectively * Document investigation findings, analyze case root causes, and recommend feasible action items to minimize future fraud incidents